Date Posted: 2026-06-30 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon's Air & Space Defense Systems (ASDS) strategic business unit (SBU) specializes in multi-domain integrated air and missile defense, advanced sensors, space-based systems, hypersonics, effectors, and cyber solutions. Focused on program execution, business growth and the highest level of customer satisfaction, the ASDS team provides customers with unmatched capabilities of detection and sensing, command and control, and air-to-air, air-to-surface, and surface-to-air munitions to accomplish air, space and missile defense missions. The Mission We are looking for a dedicated Scrum Master to champion agility, collaboration, and continuous improvement within our delivery teams. You will not just facilitate ceremonies; you will be the guardian of the team's health, focus, and velocity. Your goal is to foster a self-organizing culture, break down systemic impediments, and help the team deliver high-quality increments with predictability. This position is an onsite role in Aurora, CO What You Will Do Coach the Team: Guide the team on self-organization, cross-functionality, and Agile best practices. Facilitate with Purpose: Lead effective Daily Scrums, Sprint Planning, Reviews, and Retrospectives to drive team alignment and productivity. Shield the Team: Protect the team from external distractions and ensure focus on sprint goals. Obliterate Obstacles: Proactively identify, track, and resolve organizational and technical blockers. Partner with Product: Collaborate with the Product Owner to manage and refine the backlog, ensuring user stories are well-defined and actionable. Track Team Health: Use burn-down charts, velocity metrics, and continuous flow diagrams to identify areas of improvement and sustain team momentum. What You Will Learn A breadth of advanced software technologies and techniques including multi-tiered architectures, AWS web services, and microservice software design Modern DevSecOps and Continuous Integration/Continuous Delivery techniques. Software lifecycle practices for large-scale defense projects Satellite ground system technologies Qualifications You Must Have A Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of prior relevant experience Certified Expertise: Industry certifications such as CSM, PSM I/II, or PMI-ACP, demonstrating your dedication to Agile methodologies. Proven Agile Fluency: Deep understanding of Scrum, Kanban, Lean principles, and scaling frameworks (e.g., SAFe, LeSS). Technical Acumen: Experience developing object-oriented software using C++ and Java, as well as knowledge of DevSecOps methods, microservices, and containerized applications (e.g., Docker, Kubernetes, Kafka). Metrics Mindset: Expertise in leveraging data to identify bottlenecks and drive improvements, without weaponizing metrics against the team. An active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. An active and transferable U.S. government issued Top Secret security clearance that can be crossed over to a TS/SCI security clearance is also acceptable. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Exceptional emotional intelligence, conflict resolution, and active listening skills to foster a psychologically safe and collaborative environment. Knowledge of stateless/serverless software and architecture. Experience with AWS cloud services. Experience with Grafana. Experience with satellite command and control software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value, Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation eligible. Relocation assistance is available for this role. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: Aurora, CO: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/11/2026
Full time
Date Posted: 2026-06-30 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon's Air & Space Defense Systems (ASDS) strategic business unit (SBU) specializes in multi-domain integrated air and missile defense, advanced sensors, space-based systems, hypersonics, effectors, and cyber solutions. Focused on program execution, business growth and the highest level of customer satisfaction, the ASDS team provides customers with unmatched capabilities of detection and sensing, command and control, and air-to-air, air-to-surface, and surface-to-air munitions to accomplish air, space and missile defense missions. The Mission We are looking for a dedicated Scrum Master to champion agility, collaboration, and continuous improvement within our delivery teams. You will not just facilitate ceremonies; you will be the guardian of the team's health, focus, and velocity. Your goal is to foster a self-organizing culture, break down systemic impediments, and help the team deliver high-quality increments with predictability. This position is an onsite role in Aurora, CO What You Will Do Coach the Team: Guide the team on self-organization, cross-functionality, and Agile best practices. Facilitate with Purpose: Lead effective Daily Scrums, Sprint Planning, Reviews, and Retrospectives to drive team alignment and productivity. Shield the Team: Protect the team from external distractions and ensure focus on sprint goals. Obliterate Obstacles: Proactively identify, track, and resolve organizational and technical blockers. Partner with Product: Collaborate with the Product Owner to manage and refine the backlog, ensuring user stories are well-defined and actionable. Track Team Health: Use burn-down charts, velocity metrics, and continuous flow diagrams to identify areas of improvement and sustain team momentum. What You Will Learn A breadth of advanced software technologies and techniques including multi-tiered architectures, AWS web services, and microservice software design Modern DevSecOps and Continuous Integration/Continuous Delivery techniques. Software lifecycle practices for large-scale defense projects Satellite ground system technologies Qualifications You Must Have A Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of prior relevant experience Certified Expertise: Industry certifications such as CSM, PSM I/II, or PMI-ACP, demonstrating your dedication to Agile methodologies. Proven Agile Fluency: Deep understanding of Scrum, Kanban, Lean principles, and scaling frameworks (e.g., SAFe, LeSS). Technical Acumen: Experience developing object-oriented software using C++ and Java, as well as knowledge of DevSecOps methods, microservices, and containerized applications (e.g., Docker, Kubernetes, Kafka). Metrics Mindset: Expertise in leveraging data to identify bottlenecks and drive improvements, without weaponizing metrics against the team. An active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. An active and transferable U.S. government issued Top Secret security clearance that can be crossed over to a TS/SCI security clearance is also acceptable. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Exceptional emotional intelligence, conflict resolution, and active listening skills to foster a psychologically safe and collaborative environment. Knowledge of stateless/serverless software and architecture. Experience with AWS cloud services. Experience with Grafana. Experience with satellite command and control software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value, Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation eligible. Relocation assistance is available for this role. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: Aurora, CO: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
National Radio Astronomy Observatory
Green Bank, West Virginia
National Radio Astronomy Observatory Title: Software Engineer III Location: 1011 Lopezville Rd, Socorro, NM 87801, USA• 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA• 155 Observatory Rd, Green Bank, WV 24944, USA Requisition Number: 230 Job Family: Software Engineer Pay Type: Salary Required Education: CPP Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. The NRAO is seeking a full-time software engineer to design, develop and maintain code for their radio interferometer data reduction and analysis pipeline. The pipeline is used for the majority of data processing by users of the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile. ALMA is now entering a very exciting phase. Over the next several years, ALMA will be undergoing a major upgrade of the array's components - the ALMA Wideband Sensitivity Upgrade (WSU). The objective is to increase the system bandwidth by at least a factor of two (and a goal of a factor of four), as well as to improve the sensitivity of most receivers and improve the digital efficiency throughout the signal chain. The position will be based either at our headquarters in Charlottesville, VA; at the Science Operations Center in Socorro, NM; our office in Albuquerque, NM; or at the Green Bank Observatory in West Virginia. A remote workstation within the United States may be considered for candidates with sufficient experience, who can work independently while still communicating effectively with the team. What You Will be Doing: The ALMA Pipeline Software Engineer is responsible for all aspects of the software engineering lifecycle, from requirements derivation through design, development, testing and maintenance of code used in telescope data processing. You must be capable of formulating complex technical solutions suitable for operational deployment from broad scientific objectives in a research environment. You must possess both software engineering domain knowledge as well as the educational background and ability to understand the basic scientific concepts of radio interferometry. A key responsibility for this position will be improving ALMA quality assurance (QA) processes and the common pipeline infrastructure. All Pipeline development uses a a common infrastructure written in Python, which serves as the foundation of all essential aspects of the Pipeline functionality, including, heuristics-driving data calibration/imaging, weblog-based presentation of workflow and data quality assessment, as well as the final science data product delivery. Work Environment The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Must be able to operate a personal computer. May occasionally work at high altitudes. Must be able to communicate effectively both verbally and in writing. Who You Are: Education You have a Bachelor's degree in computer science, engineering, scientific or related field; highly relevant experience may be considered in lieu of a Bachelor's degree. While not required, you may have an advanced degree in a related field. Experience Minimum of three years of experience in the development of software applications; Skills and Competencies An understanding of formal software engineering principles including design, documentation, ticketing systems, version control and testing frameworks Experience with large development projects in Python Experience writing code for data visualization and web presentation Familiarity with basic astronomical principles and data reduction Demonstrated ability to learn new scientific concepts and apply them to engineering implementation, ideally in radio astronomy and interferometry Experience with scientific software development, numerical processing techniques, and mathematical packages such as Python/numpy Experience with CASA (or similar data reduction package) Familiarity with High Performance Computing and Big Data concepts including distributed data storage, parallel I/O, parallel processing, and memory caching Familiarity with software development in Linux, Python, and with version control software Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $79,000 and $120,000. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 00 Yearly Salary PI62747daf5b4c-0105
08/11/2026
Full time
National Radio Astronomy Observatory Title: Software Engineer III Location: 1011 Lopezville Rd, Socorro, NM 87801, USA• 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA• 155 Observatory Rd, Green Bank, WV 24944, USA Requisition Number: 230 Job Family: Software Engineer Pay Type: Salary Required Education: CPP Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. The NRAO is seeking a full-time software engineer to design, develop and maintain code for their radio interferometer data reduction and analysis pipeline. The pipeline is used for the majority of data processing by users of the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile. ALMA is now entering a very exciting phase. Over the next several years, ALMA will be undergoing a major upgrade of the array's components - the ALMA Wideband Sensitivity Upgrade (WSU). The objective is to increase the system bandwidth by at least a factor of two (and a goal of a factor of four), as well as to improve the sensitivity of most receivers and improve the digital efficiency throughout the signal chain. The position will be based either at our headquarters in Charlottesville, VA; at the Science Operations Center in Socorro, NM; our office in Albuquerque, NM; or at the Green Bank Observatory in West Virginia. A remote workstation within the United States may be considered for candidates with sufficient experience, who can work independently while still communicating effectively with the team. What You Will be Doing: The ALMA Pipeline Software Engineer is responsible for all aspects of the software engineering lifecycle, from requirements derivation through design, development, testing and maintenance of code used in telescope data processing. You must be capable of formulating complex technical solutions suitable for operational deployment from broad scientific objectives in a research environment. You must possess both software engineering domain knowledge as well as the educational background and ability to understand the basic scientific concepts of radio interferometry. A key responsibility for this position will be improving ALMA quality assurance (QA) processes and the common pipeline infrastructure. All Pipeline development uses a a common infrastructure written in Python, which serves as the foundation of all essential aspects of the Pipeline functionality, including, heuristics-driving data calibration/imaging, weblog-based presentation of workflow and data quality assessment, as well as the final science data product delivery. Work Environment The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Must be able to operate a personal computer. May occasionally work at high altitudes. Must be able to communicate effectively both verbally and in writing. Who You Are: Education You have a Bachelor's degree in computer science, engineering, scientific or related field; highly relevant experience may be considered in lieu of a Bachelor's degree. While not required, you may have an advanced degree in a related field. Experience Minimum of three years of experience in the development of software applications; Skills and Competencies An understanding of formal software engineering principles including design, documentation, ticketing systems, version control and testing frameworks Experience with large development projects in Python Experience writing code for data visualization and web presentation Familiarity with basic astronomical principles and data reduction Demonstrated ability to learn new scientific concepts and apply them to engineering implementation, ideally in radio astronomy and interferometry Experience with scientific software development, numerical processing techniques, and mathematical packages such as Python/numpy Experience with CASA (or similar data reduction package) Familiarity with High Performance Computing and Big Data concepts including distributed data storage, parallel I/O, parallel processing, and memory caching Familiarity with software development in Linux, Python, and with version control software Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $79,000 and $120,000. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 00 Yearly Salary PI62747daf5b4c-0105
National Radio Astronomy Observatory
Albuquerque, New Mexico
National Radio Astronomy Observatory Title: Technical Specialist III-IV Location: 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA Requisition Number: 224 Job Family: Technical Specialist Pay Type: Hourly Required Education: NET Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. At NRAO, we are recruiting a Front End Technical Specialist III or IV. The preferred location for the position will be based at Albuquerque BP office. What You Will be Doing: Assist with design, layout, testing, problem solving, and troubleshooting procedures for systems, assemblies, sub-assemblies while working with engineers and technical staff. Conduct procurement and testing of RF and microwave components such as polarizers, couplers, amplifiers, cables, and waveguides. Participate in regular Front End design, development, and future maintenance activities. Design, fabricate, assemble and test prototype or production receivers and support electronics. Set up standard test equipment, test fixtures, or devices to conduct functional, operational, and environmental tests to evaluate the performance and reliability of prototype or production units. Analyze and interpret test data. May assist in the first couple installations, then lead the subsequent installations of finished units at various antenna sites. Other duties may be assigned based on the applicant's skills and the Observatory's needs. Work Environment Work is mission driven, team oriented and typically performed in an office setting within a research or development environment . The successful candidate may occasionally be required to work outdoors or climb on antennas to heights greater than 40 feet above the ground. Candidate may be required to travel domestically and internationally by air carrier and to travel by car between NRAO sites. Who You Are: Education Associate's degree in electrical engineering technology or an equivalent combination of education and Ten years of related experience. While not required, a Bachelor of science in electrical engineering technology or closely related field is preferred Experience Minimum of ten years of experience in design, manufacture, and/or maintenance and repair of some or all the following technical areas: cryogenic receiver systems (front ends), antenna RF systems, and IF systems (e.g. oscillators and mixers) While not required, fifteen years of experience in technical areas as described above is preferred Skills and Competencies High level of competency in Microsoft software products and web-based systems, Visio and SharePoint. Attention to detail is critical Highly organized Excellent communication skills Problem solving skills Good documentation skills Ability to work well in a team environment A strong foundation in electrical or electronics engineering technology Knowledge of RF, analog, and digital circuit design along with specific test and measurement techniques Use of various types of electronics test equipment and familiarity with automated test setups to support general test and measurement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Safety Sensitive The selected candidate must successfully pass a post-offer, pre-employment/pre-placement drug screen. Failure to pass the screen will disqualify the candidate from employment consideration for a period of six months from the date of the results. Total Rewards: Compensation The starting salary/hourly rate of this position is between $33.66-$43.62 per hour. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 33.66-43.62 Hourly Wage PI19273bb272bb-2279
08/11/2026
Full time
National Radio Astronomy Observatory Title: Technical Specialist III-IV Location: 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA Requisition Number: 224 Job Family: Technical Specialist Pay Type: Hourly Required Education: NET Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. At NRAO, we are recruiting a Front End Technical Specialist III or IV. The preferred location for the position will be based at Albuquerque BP office. What You Will be Doing: Assist with design, layout, testing, problem solving, and troubleshooting procedures for systems, assemblies, sub-assemblies while working with engineers and technical staff. Conduct procurement and testing of RF and microwave components such as polarizers, couplers, amplifiers, cables, and waveguides. Participate in regular Front End design, development, and future maintenance activities. Design, fabricate, assemble and test prototype or production receivers and support electronics. Set up standard test equipment, test fixtures, or devices to conduct functional, operational, and environmental tests to evaluate the performance and reliability of prototype or production units. Analyze and interpret test data. May assist in the first couple installations, then lead the subsequent installations of finished units at various antenna sites. Other duties may be assigned based on the applicant's skills and the Observatory's needs. Work Environment Work is mission driven, team oriented and typically performed in an office setting within a research or development environment . The successful candidate may occasionally be required to work outdoors or climb on antennas to heights greater than 40 feet above the ground. Candidate may be required to travel domestically and internationally by air carrier and to travel by car between NRAO sites. Who You Are: Education Associate's degree in electrical engineering technology or an equivalent combination of education and Ten years of related experience. While not required, a Bachelor of science in electrical engineering technology or closely related field is preferred Experience Minimum of ten years of experience in design, manufacture, and/or maintenance and repair of some or all the following technical areas: cryogenic receiver systems (front ends), antenna RF systems, and IF systems (e.g. oscillators and mixers) While not required, fifteen years of experience in technical areas as described above is preferred Skills and Competencies High level of competency in Microsoft software products and web-based systems, Visio and SharePoint. Attention to detail is critical Highly organized Excellent communication skills Problem solving skills Good documentation skills Ability to work well in a team environment A strong foundation in electrical or electronics engineering technology Knowledge of RF, analog, and digital circuit design along with specific test and measurement techniques Use of various types of electronics test equipment and familiarity with automated test setups to support general test and measurement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Safety Sensitive The selected candidate must successfully pass a post-offer, pre-employment/pre-placement drug screen. Failure to pass the screen will disqualify the candidate from employment consideration for a period of six months from the date of the results. Total Rewards: Compensation The starting salary/hourly rate of this position is between $33.66-$43.62 per hour. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 33.66-43.62 Hourly Wage PI19273bb272bb-2279
National Radio Astronomy Observatory
Charlottesville, Virginia
National Radio Astronomy Observatory Title: Systems Engineer II-III Location: NRAO Headquarters, 520 Edgemont Rd, CHARLOTTESVILLE, Virginia, United States of America Requisition Number: 231 Job Family: Systems Engineer Pay Type: Salary Required Education: PPM Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. The Observatory operates a variety of radio telescopes that span the globe, including the famous Very Large Array (VLA) in New Mexico, the Green Bank Telescope (GBT) in West Virginia, the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile, and the Very Long Baseline Array (VLBA). These telescopes are among the most advanced in the world, allowing astronomers to explore the universe in unprecedented detail. The Next Generation Very Large Array (ngVLA) is a transformative astronomical observatory designed to deliver science-ready data products to a broad community of users. The Computing and Software System (CSS) is the backbone of this vision, encompassing all the software and hardware required to control the telescope, manage the flow of data, execute processing pipelines, and provide user-facing services. The CSS is decomposed into several major systems, each with a distinct role in the data lifecycle, from observation planning to final data analysis. The ngVLA project is seeking a highly skilled and experienced system engineer with a software background. The system engineer will collaborate with System Architects and Engineers with domain expertise (subject matter experts) to formalize, capture and manage the evolving sub-system requirements, computing and software sub-system architecture, and sub-system designs. This position extends and implements the project-level systems engineering management plan and software development plan, ensuring that a rigorous design process is followed and deliverables meet project quality standards. This position will be located at the NRAO facility in Charlottesville (VA). What You Will be Doing Successfully lead all systems engineering tasks for CSS. Ensure requirements traceability and process alignment between CSS and the ngVLA project, including tracking the traceability of requirements down to CSS software subsystems within the ngVLA Cameo model. Document requirements, elaborate verification and validation (V&V) plans, update CSS design and system architecture, and create other technical documents needed for gate reviews. Define and maintain internal and external Interface Control Documents (ICDs) for CSS software subsystems within the ngVLA Cameo model. Model system and software subsystem behavior - including activity diagrams and state/mode diagrams - to document functional flows and control logic Support the execution of verification and validation (V&V) activities for CSS software subsystems, working with development teams to confirm requirements are met. Manage the development of all Systems Engineering plans and documentation for CSS needed for successful system design reviews. Utilize Model-Based Systems Engineering (MBSE) techniques - specifically Cameo Systems Modeler, SysML, and MagicDraw - to update and extend the ngVLA Cameo model, document workflows and system models, and maintain interface specifications. Prepare technical documentation and presentations for CSS gate reviews and assist in managing subsystem design reviews Participate in the systems engineering management processes, including configuration management, baselining, change management and document management processes Work Environment The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Who You Are: You have a bachelor's degree in systems engineering, physical science, computer science, software engineering, electrical engineering, or related field or significant work experience in a similar environment. At least five years working as a Systems Engineer in integrated project teams, preferably in scientific R&D environments. Incose or similar certification beneficial. Demonstrated experience with core systems engineering principles, including requirements capture, verification and validation plans, full project lifecycle planning. Experience of working across life cycle phases including: preliminary design, detail design, design qualification, production, construction or fabrication, and transition to operations Exposure to at least two of the following technology domains is preferred: electromagnetic, RF, digital signal processing, mechanical, software engineering, and civil engineering Experience with model-based systems engineering methodologies and tools Excellent verbal and written communication, and scheduling and running effective meetings with geographically dispersed teams. Proactive and independent work ethic Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $87,390-$120,837. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply Now" button. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position. Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 37 Yearly Salary PI00f1e1c4f6c0-0106
08/11/2026
Full time
National Radio Astronomy Observatory Title: Systems Engineer II-III Location: NRAO Headquarters, 520 Edgemont Rd, CHARLOTTESVILLE, Virginia, United States of America Requisition Number: 231 Job Family: Systems Engineer Pay Type: Salary Required Education: PPM Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. The Observatory operates a variety of radio telescopes that span the globe, including the famous Very Large Array (VLA) in New Mexico, the Green Bank Telescope (GBT) in West Virginia, the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile, and the Very Long Baseline Array (VLBA). These telescopes are among the most advanced in the world, allowing astronomers to explore the universe in unprecedented detail. The Next Generation Very Large Array (ngVLA) is a transformative astronomical observatory designed to deliver science-ready data products to a broad community of users. The Computing and Software System (CSS) is the backbone of this vision, encompassing all the software and hardware required to control the telescope, manage the flow of data, execute processing pipelines, and provide user-facing services. The CSS is decomposed into several major systems, each with a distinct role in the data lifecycle, from observation planning to final data analysis. The ngVLA project is seeking a highly skilled and experienced system engineer with a software background. The system engineer will collaborate with System Architects and Engineers with domain expertise (subject matter experts) to formalize, capture and manage the evolving sub-system requirements, computing and software sub-system architecture, and sub-system designs. This position extends and implements the project-level systems engineering management plan and software development plan, ensuring that a rigorous design process is followed and deliverables meet project quality standards. This position will be located at the NRAO facility in Charlottesville (VA). What You Will be Doing Successfully lead all systems engineering tasks for CSS. Ensure requirements traceability and process alignment between CSS and the ngVLA project, including tracking the traceability of requirements down to CSS software subsystems within the ngVLA Cameo model. Document requirements, elaborate verification and validation (V&V) plans, update CSS design and system architecture, and create other technical documents needed for gate reviews. Define and maintain internal and external Interface Control Documents (ICDs) for CSS software subsystems within the ngVLA Cameo model. Model system and software subsystem behavior - including activity diagrams and state/mode diagrams - to document functional flows and control logic Support the execution of verification and validation (V&V) activities for CSS software subsystems, working with development teams to confirm requirements are met. Manage the development of all Systems Engineering plans and documentation for CSS needed for successful system design reviews. Utilize Model-Based Systems Engineering (MBSE) techniques - specifically Cameo Systems Modeler, SysML, and MagicDraw - to update and extend the ngVLA Cameo model, document workflows and system models, and maintain interface specifications. Prepare technical documentation and presentations for CSS gate reviews and assist in managing subsystem design reviews Participate in the systems engineering management processes, including configuration management, baselining, change management and document management processes Work Environment The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Who You Are: You have a bachelor's degree in systems engineering, physical science, computer science, software engineering, electrical engineering, or related field or significant work experience in a similar environment. At least five years working as a Systems Engineer in integrated project teams, preferably in scientific R&D environments. Incose or similar certification beneficial. Demonstrated experience with core systems engineering principles, including requirements capture, verification and validation plans, full project lifecycle planning. Experience of working across life cycle phases including: preliminary design, detail design, design qualification, production, construction or fabrication, and transition to operations Exposure to at least two of the following technology domains is preferred: electromagnetic, RF, digital signal processing, mechanical, software engineering, and civil engineering Experience with model-based systems engineering methodologies and tools Excellent verbal and written communication, and scheduling and running effective meetings with geographically dispersed teams. Proactive and independent work ethic Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $87,390-$120,837. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply Now" button. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position. Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 37 Yearly Salary PI00f1e1c4f6c0-0106
Salary Range: Salary commensurate with experience and qualifications About SMU SMU's more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University's small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences, Cox School of Business, Lyle School of Engineering, Meadows School of the Arts, Simmons School of Education and Human Development, Dedman School of Law, Perkins School of Theology and Moody School of Graduate and Advanced Studies. SMU is data driven, and its powerful supercomputing ecosystem - paired with entrepreneurial drive - creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU's relationship with Dallas - the dynamic center of one of the nation's fastest-growing regions - offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Position: This role is an on-campus, in-person position. As the Academic Technology Services Director for the Bobby B. Lyle School of Engineering, this position is the embedded, hands-on academic technology partner for one of SMU's most technically demanding schools, serving faculty and students across all Lyle departments. Reporting to OIT Academic Technology Services with a close relationship to the Lyle Dean's office, it designs, deploys, administers, and supports the instructional and research technology that powers Lyle's classrooms, computing labs, shared Linux computing environments, Lyle online course delivery, and faculty research. Distinct from other ATSD roles, this is a deeply technical, execution-focused position requiring strong Linux and systems-administration expertise and fluency with the scientific and engineering software and HPC environments on which Lyle depends. Essential Functions: Academic Technology Support & School-Level Coordination: Embedded day-to-day academic technology contact for Lyle. Coordinates with OIT Academic Technology Services, the Lyle Dean's office, department chairs, and centers; triages faculty and departmental technology needs; contributes to school technology planning; and provides some leadership while focusing on hands-on coordination and delivery. AI Tools, Literacy & Hands-On Enablement: Configures, pilots, & supports approved AI & generative AI tools for Lyle faculty, students, and staff. Builds AI literacy resources, prompt libraries, & just-in-time training for engineering teaching & research, including responsible-use practices & discipline-specific applications. Partners with SMU AI governance to keep Lyle aligned to SMU standards. Support for Online & Synchronous Learning Tech.: Provides hands-on technical delivery & support for Lyle's online and synchronous instruction, including online course delivery. Helps coordinate lecture capture, live streaming, web-conferencing, & remote-access tools, integrates them with Canvas, & troubleshoots live sessions, working with OIT Online Production Services and other program partners. LMS (Canvas) Support: Performs hands-on support of Canvas for Lyle courses, including course setup, enrollments, gradebook and SIS troubleshooting, and integrations. Implements engineering-specific tools, programming and notebook environments, and assessment solutions resolves issues and escalates to OIT teams as necessary. Research Computing, HPC & Scientific Software Support: Supports Lyle faculty, students, and research teams using SMU's research and high-performance computing environment, including ManeFrame III and the NVIDIA DGX SuperPOD, with OIT Research Technology Services. Assists with HPC scheduling (SLURM), modules (Lmod), allocations (ColdFront), scientific software, GPU and parallel computing, and large data movement. Specialized Engineering Software & Linux Computing Support: Installs, licenses, and maintains discipline-specific engineering and scientific software on Linux servers (MATLAB, ANSYS, COMSOL, EDA tools) requiring elevated admin access. Administers the shared, general-access Linux environments used for coursework and research. Windows and macOS installs and instrument-connected workstations are handled by client systems and lab managers. Linux Server Administration & Systems Support: Administers Lyle's Linux servers and virtual machines for instruction and research, including installation, configuration, patching, monitoring, backup, and scripting and automation (bash), applying security baselines within OIT enterprise standards. For Windows and macOS, advises users, engages client systems for remote installs, or refers to desktop support rather than hands-on administration. Classroom & Event Technology Support: Maintains working familiarity with Lyle classroom, learning-space, and event technology and helps faculty and presenters get started when systems are working normally. Provides brief first-line help for in-person and online sessions. Audiovisual systems are owned and configured by OIT Classroom Support; this role refers configuration changes, locked-cabinet access, and anything not quickly resolved. Accessibility, Compliance & Research-Data Stewardship: Helps support digital accessibility of Lyle's instructional materials and platforms per university standards and law (ADA Title II, WCAG) and guides faculty in remediation of content. Helps the school observe research-data security, data governance, and export-control considerations (ITAR, EAR) common in engineering research, escalating to the appropriate offices. Professional Development, Documentation & Service: Maintains current expertise in academic, research, and engineering technologies through ongoing professional development and certification. Develops documentation, knowledge-base articles, and standard operating procedures for the school's technology environment, and participates in OIT, ATS, and school committees that advance Lyle's mission. Occasional support for evening graduate classes, online synchronous sessions, scheduled maintenance windows, and school events is required. Occasional travel across campus and to professional development events, training sessions, or conferences. This position may require work in data center and server room environments, subject to applicable safety requirements. Periodic on-call or maintenance window availability may also be required. Qualifications Education and Experience: A Bachelor's degree and a minimum of five (5) years of relevant experience in academic, research, or instructional technology, systems administration, or technical support in a higher-education, research, or engineering setting is required. OR A Master's degree and a minimum of three (3) years of relevant experience in academic, research, or instructional technology, systems administration, or technical support in a higher-education, research, or engineering setting is required. Degree in CS, engineering, IT, or related technical field is desired. Required: Experience with Linux and Unix administration Cross-platform (Windows, macOS, Linux) support Experience supporting scientific and engineering software and research computing Linux Experience with Canvas or comparable leaning management system (LMS) Experience providing direct technical support to faculty and student Experience with STEM, engineering, or research-intensive work is preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. A strong customer service orientation is essential. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills. Strong project management skills and a strong focus on attention to detail are essential. Required: Experience with research and HPC concepts (scheduling, modules, batch and parallel workloads) Canvas or comparable LMS administration and installation Ability to advise on Windows and macOS Strong knowledge of productivity and collaboration suites (Microsoft 365) Strong knowledge of web-conferencing and lecture-capture tools Scripting (bash) Preferred: GPU/CUDA, containers (Docker, K8s), Git, and cloud platforms Relevant Linux, cloud, or HPC certifications MATLAB, Python, and R Engineering and simulation software (ANSYS, COMSOL, SolidWorks, CAD/CAE, EDA tools) Containerization and HPC tooling (K8s, Singularity, Docker) Cloud consoles (AWS, Azure, GCP) Configuration-management tools Physical and Environmental Demands: Bend Crawl Reach above shoulders Carry/lift 25 lbs. Sit for long periods of time Climb Handle objects (dexterity) Kneel Stand Walk for long distances Exposure to dust, fumes, gases, radiation, microwave Deadline to Apply: The position is open until filled. EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefits . click apply for full job details
08/11/2026
Full time
Salary Range: Salary commensurate with experience and qualifications About SMU SMU's more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University's small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences, Cox School of Business, Lyle School of Engineering, Meadows School of the Arts, Simmons School of Education and Human Development, Dedman School of Law, Perkins School of Theology and Moody School of Graduate and Advanced Studies. SMU is data driven, and its powerful supercomputing ecosystem - paired with entrepreneurial drive - creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU's relationship with Dallas - the dynamic center of one of the nation's fastest-growing regions - offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Position: This role is an on-campus, in-person position. As the Academic Technology Services Director for the Bobby B. Lyle School of Engineering, this position is the embedded, hands-on academic technology partner for one of SMU's most technically demanding schools, serving faculty and students across all Lyle departments. Reporting to OIT Academic Technology Services with a close relationship to the Lyle Dean's office, it designs, deploys, administers, and supports the instructional and research technology that powers Lyle's classrooms, computing labs, shared Linux computing environments, Lyle online course delivery, and faculty research. Distinct from other ATSD roles, this is a deeply technical, execution-focused position requiring strong Linux and systems-administration expertise and fluency with the scientific and engineering software and HPC environments on which Lyle depends. Essential Functions: Academic Technology Support & School-Level Coordination: Embedded day-to-day academic technology contact for Lyle. Coordinates with OIT Academic Technology Services, the Lyle Dean's office, department chairs, and centers; triages faculty and departmental technology needs; contributes to school technology planning; and provides some leadership while focusing on hands-on coordination and delivery. AI Tools, Literacy & Hands-On Enablement: Configures, pilots, & supports approved AI & generative AI tools for Lyle faculty, students, and staff. Builds AI literacy resources, prompt libraries, & just-in-time training for engineering teaching & research, including responsible-use practices & discipline-specific applications. Partners with SMU AI governance to keep Lyle aligned to SMU standards. Support for Online & Synchronous Learning Tech.: Provides hands-on technical delivery & support for Lyle's online and synchronous instruction, including online course delivery. Helps coordinate lecture capture, live streaming, web-conferencing, & remote-access tools, integrates them with Canvas, & troubleshoots live sessions, working with OIT Online Production Services and other program partners. LMS (Canvas) Support: Performs hands-on support of Canvas for Lyle courses, including course setup, enrollments, gradebook and SIS troubleshooting, and integrations. Implements engineering-specific tools, programming and notebook environments, and assessment solutions resolves issues and escalates to OIT teams as necessary. Research Computing, HPC & Scientific Software Support: Supports Lyle faculty, students, and research teams using SMU's research and high-performance computing environment, including ManeFrame III and the NVIDIA DGX SuperPOD, with OIT Research Technology Services. Assists with HPC scheduling (SLURM), modules (Lmod), allocations (ColdFront), scientific software, GPU and parallel computing, and large data movement. Specialized Engineering Software & Linux Computing Support: Installs, licenses, and maintains discipline-specific engineering and scientific software on Linux servers (MATLAB, ANSYS, COMSOL, EDA tools) requiring elevated admin access. Administers the shared, general-access Linux environments used for coursework and research. Windows and macOS installs and instrument-connected workstations are handled by client systems and lab managers. Linux Server Administration & Systems Support: Administers Lyle's Linux servers and virtual machines for instruction and research, including installation, configuration, patching, monitoring, backup, and scripting and automation (bash), applying security baselines within OIT enterprise standards. For Windows and macOS, advises users, engages client systems for remote installs, or refers to desktop support rather than hands-on administration. Classroom & Event Technology Support: Maintains working familiarity with Lyle classroom, learning-space, and event technology and helps faculty and presenters get started when systems are working normally. Provides brief first-line help for in-person and online sessions. Audiovisual systems are owned and configured by OIT Classroom Support; this role refers configuration changes, locked-cabinet access, and anything not quickly resolved. Accessibility, Compliance & Research-Data Stewardship: Helps support digital accessibility of Lyle's instructional materials and platforms per university standards and law (ADA Title II, WCAG) and guides faculty in remediation of content. Helps the school observe research-data security, data governance, and export-control considerations (ITAR, EAR) common in engineering research, escalating to the appropriate offices. Professional Development, Documentation & Service: Maintains current expertise in academic, research, and engineering technologies through ongoing professional development and certification. Develops documentation, knowledge-base articles, and standard operating procedures for the school's technology environment, and participates in OIT, ATS, and school committees that advance Lyle's mission. Occasional support for evening graduate classes, online synchronous sessions, scheduled maintenance windows, and school events is required. Occasional travel across campus and to professional development events, training sessions, or conferences. This position may require work in data center and server room environments, subject to applicable safety requirements. Periodic on-call or maintenance window availability may also be required. Qualifications Education and Experience: A Bachelor's degree and a minimum of five (5) years of relevant experience in academic, research, or instructional technology, systems administration, or technical support in a higher-education, research, or engineering setting is required. OR A Master's degree and a minimum of three (3) years of relevant experience in academic, research, or instructional technology, systems administration, or technical support in a higher-education, research, or engineering setting is required. Degree in CS, engineering, IT, or related technical field is desired. Required: Experience with Linux and Unix administration Cross-platform (Windows, macOS, Linux) support Experience supporting scientific and engineering software and research computing Linux Experience with Canvas or comparable leaning management system (LMS) Experience providing direct technical support to faculty and student Experience with STEM, engineering, or research-intensive work is preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. A strong customer service orientation is essential. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills. Strong project management skills and a strong focus on attention to detail are essential. Required: Experience with research and HPC concepts (scheduling, modules, batch and parallel workloads) Canvas or comparable LMS administration and installation Ability to advise on Windows and macOS Strong knowledge of productivity and collaboration suites (Microsoft 365) Strong knowledge of web-conferencing and lecture-capture tools Scripting (bash) Preferred: GPU/CUDA, containers (Docker, K8s), Git, and cloud platforms Relevant Linux, cloud, or HPC certifications MATLAB, Python, and R Engineering and simulation software (ANSYS, COMSOL, SolidWorks, CAD/CAE, EDA tools) Containerization and HPC tooling (K8s, Singularity, Docker) Cloud consoles (AWS, Azure, GCP) Configuration-management tools Physical and Environmental Demands: Bend Crawl Reach above shoulders Carry/lift 25 lbs. Sit for long periods of time Climb Handle objects (dexterity) Kneel Stand Walk for long distances Exposure to dust, fumes, gases, radiation, microwave Deadline to Apply: The position is open until filled. EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefits . click apply for full job details
Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details This role is in support of Cencora's distribution services in the US operating through our AmerisourceBergen business. Summary of Role: Shift Details: Availability for shifts:Sunday- Friday 6am-3pm Pay Details: $29/hr-$38/hr (DOE) Responsibilities: Ensures effective preventative maintenance plans and schedules for all facility equipment and systems. Diagnoses Materials Handling Equipment-related error conditions occurring in the Distribution Center and repairs appropriately. Oversees and provides assistance with any maintenance, modifications, and/or system upgrades of Materials Handling Equipment. Assesses the efficiency of materials handling equipment and defines necessary modifications. Manages the inventory of spare parts in a CMMS environment. Keeps distribution center management apprised of escalating abnormal or critical situations and coordinates resolutions/repairs with outside professional maintenance (if required). Provides assistance in the configuration, maintenance, modifications, and system upgrades of MHE. Works with equipment and software vendors on design specifications and improvements. Develops and solicits bids from vendors for maintenance, janitorial, snow removal, landscape and other contracts necessary to support all building and MHE systems. Responsible for associate relations functions including directing, supervising and developing a staff of Maintenance Support Specialists. Associate is required to work split shifts, nights and weekends as well as be on call to respond to downtime events. Performs related duties as assigned. Education: BS Degree in Mechanical Engineering or Facilities /Plant Management preferred; requires some technical vocational training, or equivalent combination of experience and education. Normally requires a minimum of two (4) years related and progressively responsible experience; strong electrical background preferred. Experience in the development of preventive maintenance programs, disaster planning, and knowledge of diesel powered back-up generators, electric and diesel fire pumps, air handling units and roof top air conditioning units. Skills and Knowledge: Complete technical and operational knowledge of industrial mechanical components and systems. (Bearings, Pumps, Piping, pneumatics, carpentry, facility integrity etc) Complete technical and operational knowledge of industrial electrical and electronic equipment and systems. (single phase motors, 3-ph motors, AC Control equipment, DC control equipment, batteries and DC circuits, NFPA 70e, electrical measuring equipment, power supplies .etc.) Complete understanding to troubleshoot complex automated systems controlled by computers, programmable logic controllers (PLCs) and microprocessors in a high-volume work environment. Safe operating practice training for power tools and powered equipment Complete Metal work capabilities. (measuring, cutting, arc welding, oxyfuel welding, tig welding etc) Ability to read, interpret, and create CAD layouts, illustrated parts breakdown (IPB) diagrams, and electrical circuitry diagrams and drawings. Capable of creating project cost and project analysis reports. Strong Project Management abilities Strong organizational skills; attention to detail Strong prioritization and scheduling abilities Strong aptitude for repair and maintenance activities Ability to communicate effectively both orally and in writing Strong interpersonal and communication skills to maintain cooperative working environment Strong analytical skills Knowledge of Microsoft Office and knowledge of CAD preferred. Excellent problem solving skills; ability to resolve issues effectively and efficiently Knowledge of building automation system such as Trane Tracer Summit System and Manhattan Associates' Warehouse Management System PkMS is preferred Proactive problem solving skills; ability to recommend and implement solutions Ability to operate independently, to multi-task, and to prioritize quickly Ability to coach and train Level 2 Maintenance Associates in all aspects of work scope Ability to inspect work of all Level 2 work tasks Trained and capable of assessing safety conditions and communicate corrective measures Ability to make recommendations to improve service delivery based on customer feedback Working Refrigeration Theory Working knowledge on Energy conservation What Cencora offers We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members' ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit Part time Salary Range $43,300 - 79,310 This Salary Range reflects a National Average for this job. The actual range may vary based on your locale. Ranges in Colorado/California/Washington/New York/Hawaii/Vermont/Minnesota/Massachusetts/Illinois State-specific locations may be up to 10% lower than the minimum salary range, and 12% higher than the maximum salary range. Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call or email . We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned . Affiliated Companies: Affiliated Companies: AmerisourceBergen Drug Corporation
08/11/2026
Full time
Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details This role is in support of Cencora's distribution services in the US operating through our AmerisourceBergen business. Summary of Role: Shift Details: Availability for shifts:Sunday- Friday 6am-3pm Pay Details: $29/hr-$38/hr (DOE) Responsibilities: Ensures effective preventative maintenance plans and schedules for all facility equipment and systems. Diagnoses Materials Handling Equipment-related error conditions occurring in the Distribution Center and repairs appropriately. Oversees and provides assistance with any maintenance, modifications, and/or system upgrades of Materials Handling Equipment. Assesses the efficiency of materials handling equipment and defines necessary modifications. Manages the inventory of spare parts in a CMMS environment. Keeps distribution center management apprised of escalating abnormal or critical situations and coordinates resolutions/repairs with outside professional maintenance (if required). Provides assistance in the configuration, maintenance, modifications, and system upgrades of MHE. Works with equipment and software vendors on design specifications and improvements. Develops and solicits bids from vendors for maintenance, janitorial, snow removal, landscape and other contracts necessary to support all building and MHE systems. Responsible for associate relations functions including directing, supervising and developing a staff of Maintenance Support Specialists. Associate is required to work split shifts, nights and weekends as well as be on call to respond to downtime events. Performs related duties as assigned. Education: BS Degree in Mechanical Engineering or Facilities /Plant Management preferred; requires some technical vocational training, or equivalent combination of experience and education. Normally requires a minimum of two (4) years related and progressively responsible experience; strong electrical background preferred. Experience in the development of preventive maintenance programs, disaster planning, and knowledge of diesel powered back-up generators, electric and diesel fire pumps, air handling units and roof top air conditioning units. Skills and Knowledge: Complete technical and operational knowledge of industrial mechanical components and systems. (Bearings, Pumps, Piping, pneumatics, carpentry, facility integrity etc) Complete technical and operational knowledge of industrial electrical and electronic equipment and systems. (single phase motors, 3-ph motors, AC Control equipment, DC control equipment, batteries and DC circuits, NFPA 70e, electrical measuring equipment, power supplies .etc.) Complete understanding to troubleshoot complex automated systems controlled by computers, programmable logic controllers (PLCs) and microprocessors in a high-volume work environment. Safe operating practice training for power tools and powered equipment Complete Metal work capabilities. (measuring, cutting, arc welding, oxyfuel welding, tig welding etc) Ability to read, interpret, and create CAD layouts, illustrated parts breakdown (IPB) diagrams, and electrical circuitry diagrams and drawings. Capable of creating project cost and project analysis reports. Strong Project Management abilities Strong organizational skills; attention to detail Strong prioritization and scheduling abilities Strong aptitude for repair and maintenance activities Ability to communicate effectively both orally and in writing Strong interpersonal and communication skills to maintain cooperative working environment Strong analytical skills Knowledge of Microsoft Office and knowledge of CAD preferred. Excellent problem solving skills; ability to resolve issues effectively and efficiently Knowledge of building automation system such as Trane Tracer Summit System and Manhattan Associates' Warehouse Management System PkMS is preferred Proactive problem solving skills; ability to recommend and implement solutions Ability to operate independently, to multi-task, and to prioritize quickly Ability to coach and train Level 2 Maintenance Associates in all aspects of work scope Ability to inspect work of all Level 2 work tasks Trained and capable of assessing safety conditions and communicate corrective measures Ability to make recommendations to improve service delivery based on customer feedback Working Refrigeration Theory Working knowledge on Energy conservation What Cencora offers We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members' ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit Part time Salary Range $43,300 - 79,310 This Salary Range reflects a National Average for this job. The actual range may vary based on your locale. Ranges in Colorado/California/Washington/New York/Hawaii/Vermont/Minnesota/Massachusetts/Illinois State-specific locations may be up to 10% lower than the minimum salary range, and 12% higher than the maximum salary range. Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call or email . We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned . Affiliated Companies: Affiliated Companies: AmerisourceBergen Drug Corporation
Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/11/2026
Full time
Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/11/2026
Full time
Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/11/2026
Full time
Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/11/2026
Full time
Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/10/2026
Full time
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Description: Reports To Assistant Manager of Test Engineering Location: Huntsville, AL POSITION SUMMARY: The Test Engineer II serves as a key contributor within the Test Engineering Team at the Huntsville Factory. This role is responsible for supporting, developing, and enhancing test software, hardware, and automation infrastructure, including the use of Python, C#, and MySQL-based solutions to improve test automation, data acquisition, analysis, reporting, and system performance. The Test Engineer II independently executes mid-level engineering projects while mentoring junior engineers and supporting continuous improvement initiatives. ESSENTIAL DUTIES AND RESPONSIBILITIES: Develop, improve, and maintain test software and hardware systems. Support ICT and EOLT system implementation and upgrades Develop and maintain automation scripts, test applications, and data analysis tools using Python and C# to improve test efficiency, data collection, reporting, and process control. Design, maintain, and support MySQL databases used for test data storage, retrieval, analysis, and reporting. Perform in-depth root cause analysis of test failures and implement corrective actions. Read and interpret electrical schematics and debug PCBs to the component level. Lead small-scale improvement projects and collaborate cross-functionally Maintain and repair test fixtures and equipment to ensure uptime and accuracy. Contribute ideas to improve processes and system performance. EXPERIENCE AND EDUCATIONAL REQUIREMENTS: BSEE or related field of study required. 3-6 years of hands-on experience with ICT/EOLT and PCB-level troubleshooting. Intermediate proficiency in C/C++, C#, Python, LabVIEW, CVI, or Visual C. Experience developing test automation, data analysis, and manufacturing support applications using Python and C# Working knowledge of MySQL database design, query development, and data management. Familiarity with both Windows and Linux operating systems. Proficient in Microsoft Excel, Word, and Outlook. SKILLS, KNOWLEDGE & ABILITIES: Strong understanding of analog, digital, and mixed-signal circuits. Effective communicator and proactive team player. Solid multitasking and time management skills. Competency in soldering and rework of through-hole and SMD components. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions: The noise level in the work environment is generally quite. PHYSICAL & MENTAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions: Sedentary physical activity requiring reaching, lifting, finger dexterity, grasping, feeling, repetitive motions, talking and hearing. Visual requirement is for close vision, distance vision, peripheral vision and ability to adjust focus. 80% or more time is spent looking directly at a computer. Employee is occasionally required to stand, walk (or otherwise be mobile). Ability to deal with stressful situations as they arise, apply common sense understanding to carry out detailed but uninvolved written or oral instructions, deal with problems involving a few concrete variables in standardized situations. Requirements: PI22f862f0a0aa-6799
08/10/2026
Full time
Description: Reports To Assistant Manager of Test Engineering Location: Huntsville, AL POSITION SUMMARY: The Test Engineer II serves as a key contributor within the Test Engineering Team at the Huntsville Factory. This role is responsible for supporting, developing, and enhancing test software, hardware, and automation infrastructure, including the use of Python, C#, and MySQL-based solutions to improve test automation, data acquisition, analysis, reporting, and system performance. The Test Engineer II independently executes mid-level engineering projects while mentoring junior engineers and supporting continuous improvement initiatives. ESSENTIAL DUTIES AND RESPONSIBILITIES: Develop, improve, and maintain test software and hardware systems. Support ICT and EOLT system implementation and upgrades Develop and maintain automation scripts, test applications, and data analysis tools using Python and C# to improve test efficiency, data collection, reporting, and process control. Design, maintain, and support MySQL databases used for test data storage, retrieval, analysis, and reporting. Perform in-depth root cause analysis of test failures and implement corrective actions. Read and interpret electrical schematics and debug PCBs to the component level. Lead small-scale improvement projects and collaborate cross-functionally Maintain and repair test fixtures and equipment to ensure uptime and accuracy. Contribute ideas to improve processes and system performance. EXPERIENCE AND EDUCATIONAL REQUIREMENTS: BSEE or related field of study required. 3-6 years of hands-on experience with ICT/EOLT and PCB-level troubleshooting. Intermediate proficiency in C/C++, C#, Python, LabVIEW, CVI, or Visual C. Experience developing test automation, data analysis, and manufacturing support applications using Python and C# Working knowledge of MySQL database design, query development, and data management. Familiarity with both Windows and Linux operating systems. Proficient in Microsoft Excel, Word, and Outlook. SKILLS, KNOWLEDGE & ABILITIES: Strong understanding of analog, digital, and mixed-signal circuits. Effective communicator and proactive team player. Solid multitasking and time management skills. Competency in soldering and rework of through-hole and SMD components. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions: The noise level in the work environment is generally quite. PHYSICAL & MENTAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions: Sedentary physical activity requiring reaching, lifting, finger dexterity, grasping, feeling, repetitive motions, talking and hearing. Visual requirement is for close vision, distance vision, peripheral vision and ability to adjust focus. 80% or more time is spent looking directly at a computer. Employee is occasionally required to stand, walk (or otherwise be mobile). Ability to deal with stressful situations as they arise, apply common sense understanding to carry out detailed but uninvolved written or oral instructions, deal with problems involving a few concrete variables in standardized situations. Requirements: PI22f862f0a0aa-6799
Job Overview: Relocation Benefits Available This position is located at our Ottumwa, IA facility. The Principal Automation Control Engineer under little or no supervision, chooses hardware, develops software and documentation. Verifies and maintains compliance to appropriate code and in-house standards and practices. Mentors junior level EMT's, Electricians and manages 3rd party contractors. Recommends technical direction and new technologies. Utilizes 'off the shelf' and custom solutions to solve and improve manufacturing equipment. Troubleshoots, debugs, starts-up and maintains new and currently installed automated machines. Takes lead role and responsibility of major projects. Presents ideas and concepts to project stakeholders. Scope Develops solution to complex problems which require the regular use of ingenuity and innovation. Ensures solutions are consistent with organization objectives. Contributes to the development of new concepts, techniques, and standards. Considered expert in field within organization. Impact Effects of decisions are long-lasting and heavily influence the future course of the organization. Errors in judgment or failure to achieve results would result in the expenditure of large amounts of company resources. Liaison Serves as consultant to management and special external spokesperson for the organization on major matters pertaining to its policies, plans, and objectives. Supervision Work is performed without appreciable direction. Exercises considerable latitude in determining objectives and approaches to assignment. Responsibilities Lead PLC/SCADA standardization across the manufacturing network Provide technical support to operations and project teams to solve dynamic problems and improve productivity Support standardization and continuous improvement of KDP manufacturing data collection and reporting systems Work with internal and 3rd party support teams to drive technical issues to resolution Contribute to the development of strategic initiatives such as predictive analytics, IIOT and advanced automation concepts Work with IT teams to ensure seamless patching and updates to manufacturing applications and servers Work with IT teams to deliver best in class OT cybersecurity Maintain controls & automation equipment standards Partner with maintenance and operations to provide training and create troubleshooting guides for reoccurring issues as needed Total Rewards: Salary range: $96,800 - $120,000 Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Annual bonus based on performance and eligibility Benefits eligible Day 1! Requirements: BS in Engineering or equivalent experience. 5+ Years of Industrial Automation experience in a manufacturing environment. Extensive PLC programming experience is required. Prefer Allen-Bradley systems experience including, but not limited to, the Rockwell FactoryTalk suite of software, Logixplatform, and proficient understanding of Allen-Bradley industrial networks required. Good working knowledge of SCADA/HMI systems preferably GE iFix and and/or Ignition. 5+ years of process and/or packaging automation experience. Good working knowledge of variable speed and servo drives. Good working knowledge of robotic control systems, preferably GE-Fanuc. Possess a good understanding of computer and industrial networks. Ability to effectively perform in a fast-paced, dynamic work environment. GE Plant Applications experience a plus. Siemens, Bosch & Rexroth, Beckhoff development experience a plus. Working knowledge of databases a plus. Familiar with PM, work order, and asset creation/management Company Overview: Keurig Dr Pepper (Nasdaq: KDP) is a leading beverage company with more than 150 owned, licensed and partner brands that meet a wide range of needs and occasions. Our North American refreshment beverage business holds leadership positions across carbonated soft drinks, water, juice and mixers with a portfolio of iconic brands such as Dr Pepper , Canada Dry , Mott's , A&W , Peñafiel , GHOST , 7UP , Snapple , Clamato and Core Hydration . Our global coffee business spans more than 100 markets and includes the leading Keurig single serve brewing system in the U.S. and Canada, along with powerhouse brands such as Peet's, L'OR and Jacobs, and other regional coffee leaders. Our more than 50,000 employees aim to enhance the experience of every beverage and coffee occasion while making a positive impact for people, communities and the planet. We strive to be an employer of choice, providing a culture and opportunities that empower our team to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation and growth. Will you join us? Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. AI does not make hiring decisions; all decisions throughout the hiring process are made by talent acquisition team members. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. In order for your application to be considered and opted out of AI, you must include the words "AI Opt-Out" and either job title and location or Job ID # in the email subject line in your email application.
08/10/2026
Full time
Job Overview: Relocation Benefits Available This position is located at our Ottumwa, IA facility. The Principal Automation Control Engineer under little or no supervision, chooses hardware, develops software and documentation. Verifies and maintains compliance to appropriate code and in-house standards and practices. Mentors junior level EMT's, Electricians and manages 3rd party contractors. Recommends technical direction and new technologies. Utilizes 'off the shelf' and custom solutions to solve and improve manufacturing equipment. Troubleshoots, debugs, starts-up and maintains new and currently installed automated machines. Takes lead role and responsibility of major projects. Presents ideas and concepts to project stakeholders. Scope Develops solution to complex problems which require the regular use of ingenuity and innovation. Ensures solutions are consistent with organization objectives. Contributes to the development of new concepts, techniques, and standards. Considered expert in field within organization. Impact Effects of decisions are long-lasting and heavily influence the future course of the organization. Errors in judgment or failure to achieve results would result in the expenditure of large amounts of company resources. Liaison Serves as consultant to management and special external spokesperson for the organization on major matters pertaining to its policies, plans, and objectives. Supervision Work is performed without appreciable direction. Exercises considerable latitude in determining objectives and approaches to assignment. Responsibilities Lead PLC/SCADA standardization across the manufacturing network Provide technical support to operations and project teams to solve dynamic problems and improve productivity Support standardization and continuous improvement of KDP manufacturing data collection and reporting systems Work with internal and 3rd party support teams to drive technical issues to resolution Contribute to the development of strategic initiatives such as predictive analytics, IIOT and advanced automation concepts Work with IT teams to ensure seamless patching and updates to manufacturing applications and servers Work with IT teams to deliver best in class OT cybersecurity Maintain controls & automation equipment standards Partner with maintenance and operations to provide training and create troubleshooting guides for reoccurring issues as needed Total Rewards: Salary range: $96,800 - $120,000 Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Annual bonus based on performance and eligibility Benefits eligible Day 1! Requirements: BS in Engineering or equivalent experience. 5+ Years of Industrial Automation experience in a manufacturing environment. Extensive PLC programming experience is required. Prefer Allen-Bradley systems experience including, but not limited to, the Rockwell FactoryTalk suite of software, Logixplatform, and proficient understanding of Allen-Bradley industrial networks required. Good working knowledge of SCADA/HMI systems preferably GE iFix and and/or Ignition. 5+ years of process and/or packaging automation experience. Good working knowledge of variable speed and servo drives. Good working knowledge of robotic control systems, preferably GE-Fanuc. Possess a good understanding of computer and industrial networks. Ability to effectively perform in a fast-paced, dynamic work environment. GE Plant Applications experience a plus. Siemens, Bosch & Rexroth, Beckhoff development experience a plus. Working knowledge of databases a plus. Familiar with PM, work order, and asset creation/management Company Overview: Keurig Dr Pepper (Nasdaq: KDP) is a leading beverage company with more than 150 owned, licensed and partner brands that meet a wide range of needs and occasions. Our North American refreshment beverage business holds leadership positions across carbonated soft drinks, water, juice and mixers with a portfolio of iconic brands such as Dr Pepper , Canada Dry , Mott's , A&W , Peñafiel , GHOST , 7UP , Snapple , Clamato and Core Hydration . Our global coffee business spans more than 100 markets and includes the leading Keurig single serve brewing system in the U.S. and Canada, along with powerhouse brands such as Peet's, L'OR and Jacobs, and other regional coffee leaders. Our more than 50,000 employees aim to enhance the experience of every beverage and coffee occasion while making a positive impact for people, communities and the planet. We strive to be an employer of choice, providing a culture and opportunities that empower our team to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation and growth. Will you join us? Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. AI does not make hiring decisions; all decisions throughout the hiring process are made by talent acquisition team members. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. In order for your application to be considered and opted out of AI, you must include the words "AI Opt-Out" and either job title and location or Job ID # in the email subject line in your email application.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer/Data Analyst Job Code: 40175 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance. Periodic commute to Patrick Space Force Base may be required. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. Essential Functions: Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations. Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices. Develop secure and scalable back-end services and application logic to support mission applications and workflows. Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective. Integrate cloud-native services, databases, and application components across distributed environments. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions. Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality. Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information. Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development. Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS. Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar. Experience with RESTful APIs, microservices, and application integration patterns. Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices. Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Experience building and deploying mission applications in classified or high-security environments. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/10/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer/Data Analyst Job Code: 40175 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance. Periodic commute to Patrick Space Force Base may be required. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. Essential Functions: Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations. Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices. Develop secure and scalable back-end services and application logic to support mission applications and workflows. Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective. Integrate cloud-native services, databases, and application components across distributed environments. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions. Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality. Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information. Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development. Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS. Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar. Experience with RESTful APIs, microservices, and application integration patterns. Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices. Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Experience building and deploying mission applications in classified or high-security environments. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: (DoW SkillBridge), Systems Engineering Specialist, RC-135 Mission System Operator Job Code: 32664 Job Location: Greenville, TX Schedule: 9/80 L3Harris' DoD SkillBridge is connecting transitioning service members to career training opportunities within our organization. We will provide service members with valuable civilian work experience through industry specific training, certifications and on the job experience during their DoD SkillBridge internship to help them ready themselves for their next mission. L3Harris aims to attract and retain veteran talent and to help bridge the gap between their military service and civilian careers within our organization. L3Harris is eager to share our knowledge and experience with our service members. This internship is an opportunity for the service member to gain a full understanding of the job position outlined below. TO BE ELIGIBLE FOR DOD SKILLBRIDGE JOB OPPORTUNITES YOU MUST BE AN ACTIVE MEMBER OF THE U.S. MILITARY WITH 180 DAYS OF SERVICE OR FEWER REMAINING PRIOR TO YOUR DATE OF SEPARATION AND HAVE AT LEAST 180 CONTINUOUS DAYS OF ACTIVE SERVICE . Job Description: L3Harris is seeking a Systems Engineer (SE) who can achieve operational targets with moderate impact on departmental results. Contributes to the completion of specific programs and projects. The Specialist SE is part of a team that supports the requirements, design, development, test, and integration of complex, specialized hardware/software systems installed on ground and airborne communication platforms. Essential Functions: Understands employment of RC-135 aircraft, and operations of its mission systems. Understands Standardization and Evaluation processes. Able to effectively measure and communicate mission system performance criteria Understand end-user needs and concerns as they pertain to mission system. Perform other duties as assigned. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Top Secret (TS/SCI) security clearance on day one Preferred Additional Skills: Prior experience as an RC-135 DataLink Operator (DLO), Airborne Analyst (AA) or Airborne Mission Supervisor (AMS) a plus. Familiarity with commercial and military broadband communication systems Familiarity with common Tactical Datalink radios/terminals. Able to read, interpret, create, and maintain spreadsheets, charts, reports, investigation and test plans, and procedures Familiarity with signal generators, spectrum analyzers and other advanced test equipment. Ability to communicate clearly (written and verbal) to technical and non-technical personnel. Ability to work both independently and within a team environment. Ability to obtain and maintain a Class III flight physical. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/10/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: (DoW SkillBridge), Systems Engineering Specialist, RC-135 Mission System Operator Job Code: 32664 Job Location: Greenville, TX Schedule: 9/80 L3Harris' DoD SkillBridge is connecting transitioning service members to career training opportunities within our organization. We will provide service members with valuable civilian work experience through industry specific training, certifications and on the job experience during their DoD SkillBridge internship to help them ready themselves for their next mission. L3Harris aims to attract and retain veteran talent and to help bridge the gap between their military service and civilian careers within our organization. L3Harris is eager to share our knowledge and experience with our service members. This internship is an opportunity for the service member to gain a full understanding of the job position outlined below. TO BE ELIGIBLE FOR DOD SKILLBRIDGE JOB OPPORTUNITES YOU MUST BE AN ACTIVE MEMBER OF THE U.S. MILITARY WITH 180 DAYS OF SERVICE OR FEWER REMAINING PRIOR TO YOUR DATE OF SEPARATION AND HAVE AT LEAST 180 CONTINUOUS DAYS OF ACTIVE SERVICE . Job Description: L3Harris is seeking a Systems Engineer (SE) who can achieve operational targets with moderate impact on departmental results. Contributes to the completion of specific programs and projects. The Specialist SE is part of a team that supports the requirements, design, development, test, and integration of complex, specialized hardware/software systems installed on ground and airborne communication platforms. Essential Functions: Understands employment of RC-135 aircraft, and operations of its mission systems. Understands Standardization and Evaluation processes. Able to effectively measure and communicate mission system performance criteria Understand end-user needs and concerns as they pertain to mission system. Perform other duties as assigned. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Top Secret (TS/SCI) security clearance on day one Preferred Additional Skills: Prior experience as an RC-135 DataLink Operator (DLO), Airborne Analyst (AA) or Airborne Mission Supervisor (AMS) a plus. Familiarity with commercial and military broadband communication systems Familiarity with common Tactical Datalink radios/terminals. Able to read, interpret, create, and maintain spreadsheets, charts, reports, investigation and test plans, and procedures Familiarity with signal generators, spectrum analyzers and other advanced test equipment. Ability to communicate clearly (written and verbal) to technical and non-technical personnel. Ability to work both independently and within a team environment. Ability to obtain and maintain a Class III flight physical. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/10/2026
Full time
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
New River Electrical Corporation
Vancouver, Washington
Position Summary New River Electrical is looking for a qualified Project Manager III (3) or Senior Project Manager to execute intermediate to large complex Engineer, Procure & Construct (EPC) project scopes, up to the highest level of project complexity or a customer program of projects. The PM3 or Senior Project Manager will take ownership and financial responsibility for assigned projects. As a recognized subject matter expert (SME) in the execution of EPC projects, you will be responsible for the execution of large and/or complex projects, managing all aspects of project delivery at an advanced level and reporting results up to and including senior leadership. The PM3 or Senior Project Manager provides critical leadership and management for the planning and execution of assigned projects and ensures maximum customer satisfaction. Further, the PM3 or Senior Project Manager is responsible for preparing estimates and bids for large scale EPC projects, project schedule management, overall planning and management of the entire project life cycle, procurement/purchasing, scope definition and change management and accurately managing financials including P&L for assigned projects. Duties/Responsibilities Cultivate and nurture relationships with existing customers, expanding the EPC book of business and earnings. Review RFP opportunities and participate as a key stakeholder in development of bidding strategy and pricing. Take ownership for the Scope DOR. Facilitate bidding strategy, proposal development and pricing. Coordinate with Engineering partners and internal Procurement to ensure bids for major equipment and professional services are complete in response to customer Requests for Proposals. Develop and implement the Project Management Plan (PMP), including but not limited to the following management plans: engineering, procurement, construction, scope, cost, quality, resource, communication, risk, stakeholder, change, environmental & permitting, safety & health, testing & commissioning, and organization chart. Includes training of new project team members on the PMP. Lead and coordinate directly with engineering to establish development and distribution of engineering deliverables per project schedule and requirements. Develop and communicate meaningful training to project teams establishing best in class process and procedures. Manage relationships with professional services providers to ensure EPC project performance expectations are effectively communicated and implemented. Maintain ongoing communication with project stakeholders and customer interface in order to resolve changes, schedule conflicts, document errors, material shortages and manpower adjustments. Ensure effective management of project cash flows, financial reporting, and change order tracking. Exhibit proficiency in contract negotiation, development and management. Exhibit proficiency in project risk management, including the identification, prioritization, and mitigation of project risks while seeking out and exploiting project opportunities. Seeks guidance, advice, and support from the lead project manager to make good business choices and decisions. Support monthly work-in-progress (WIP) in a timely and accurate manner. Support the reconciliation of the revenue to expenses for each job on a monthly basis. Demonstrate the highest level of business ethics and consistently adhere to and promote New River's culture, values and beliefs. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Qualifications Bachelor's degree in engineering, construction management, business, project management, or related field of study A minimum of ten (10) years of construction project management experience in a highly complex environment including at least five (5) years as an Project Manager III role or similar capacity and a minimum six (6) years leading, developing, and motivating teams Utility or construction internship experience preferred between 1-3 years Experience without Bachelor's degree: Eight (8) years hands on experience in the construction field plus three (3) years supervising construction operations Minimum of eight (8) years of field experience with three (3) years in the supervision of construction operations and a minimum of eight (8) years of construction management experience, preferably in a Project Manager III role or similar capacity Minimum of eight (8) years of field experience with five (5) years in the supervision of construction operations and a minimum of six (6) years of construction management experience, preferably in a Project Manager III role or similar capacity Mastery of all Project Manager competencies and experience for advanced and highly complex projects including but not limited to: all financials including P&L, all things cash, client proposals, risk mitigation, training and development Mastery of Construction Management/ Technical Craft Skills Ability to own, lead and manage New River Electrical most complex projects Ability and desire to serve as mentor and training support expert to other project team members Excellent verbal and written communication skills. Demonstrated skills in providing senior leadership, motivation, vision and direction. Proven success in developing and maintaining advanced and complex customer relationships. Extensive knowledge of the principles, procedures, and best practices in the industry. Excellent organizational skills and attention to detail. Strong analytical and problem-solving skills. Proficient with Microsoft Office Suite or related software Preferred Ability to read, understand, and provide constructability improvements from all issued project documents including but not limited to civil prints, below grade station prints, above grade station prints, wiring and schematic prints, station layout prints, one-line diagrams, and outage plans. Travel Travel for this position is required and will consist of overnight stays. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to see, talk and hear. The employee is required to sit at a desk and work on a computer for prolonged periods of time. PIacc3a5-
08/10/2026
Full time
Position Summary New River Electrical is looking for a qualified Project Manager III (3) or Senior Project Manager to execute intermediate to large complex Engineer, Procure & Construct (EPC) project scopes, up to the highest level of project complexity or a customer program of projects. The PM3 or Senior Project Manager will take ownership and financial responsibility for assigned projects. As a recognized subject matter expert (SME) in the execution of EPC projects, you will be responsible for the execution of large and/or complex projects, managing all aspects of project delivery at an advanced level and reporting results up to and including senior leadership. The PM3 or Senior Project Manager provides critical leadership and management for the planning and execution of assigned projects and ensures maximum customer satisfaction. Further, the PM3 or Senior Project Manager is responsible for preparing estimates and bids for large scale EPC projects, project schedule management, overall planning and management of the entire project life cycle, procurement/purchasing, scope definition and change management and accurately managing financials including P&L for assigned projects. Duties/Responsibilities Cultivate and nurture relationships with existing customers, expanding the EPC book of business and earnings. Review RFP opportunities and participate as a key stakeholder in development of bidding strategy and pricing. Take ownership for the Scope DOR. Facilitate bidding strategy, proposal development and pricing. Coordinate with Engineering partners and internal Procurement to ensure bids for major equipment and professional services are complete in response to customer Requests for Proposals. Develop and implement the Project Management Plan (PMP), including but not limited to the following management plans: engineering, procurement, construction, scope, cost, quality, resource, communication, risk, stakeholder, change, environmental & permitting, safety & health, testing & commissioning, and organization chart. Includes training of new project team members on the PMP. Lead and coordinate directly with engineering to establish development and distribution of engineering deliverables per project schedule and requirements. Develop and communicate meaningful training to project teams establishing best in class process and procedures. Manage relationships with professional services providers to ensure EPC project performance expectations are effectively communicated and implemented. Maintain ongoing communication with project stakeholders and customer interface in order to resolve changes, schedule conflicts, document errors, material shortages and manpower adjustments. Ensure effective management of project cash flows, financial reporting, and change order tracking. Exhibit proficiency in contract negotiation, development and management. Exhibit proficiency in project risk management, including the identification, prioritization, and mitigation of project risks while seeking out and exploiting project opportunities. Seeks guidance, advice, and support from the lead project manager to make good business choices and decisions. Support monthly work-in-progress (WIP) in a timely and accurate manner. Support the reconciliation of the revenue to expenses for each job on a monthly basis. Demonstrate the highest level of business ethics and consistently adhere to and promote New River's culture, values and beliefs. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Qualifications Bachelor's degree in engineering, construction management, business, project management, or related field of study A minimum of ten (10) years of construction project management experience in a highly complex environment including at least five (5) years as an Project Manager III role or similar capacity and a minimum six (6) years leading, developing, and motivating teams Utility or construction internship experience preferred between 1-3 years Experience without Bachelor's degree: Eight (8) years hands on experience in the construction field plus three (3) years supervising construction operations Minimum of eight (8) years of field experience with three (3) years in the supervision of construction operations and a minimum of eight (8) years of construction management experience, preferably in a Project Manager III role or similar capacity Minimum of eight (8) years of field experience with five (5) years in the supervision of construction operations and a minimum of six (6) years of construction management experience, preferably in a Project Manager III role or similar capacity Mastery of all Project Manager competencies and experience for advanced and highly complex projects including but not limited to: all financials including P&L, all things cash, client proposals, risk mitigation, training and development Mastery of Construction Management/ Technical Craft Skills Ability to own, lead and manage New River Electrical most complex projects Ability and desire to serve as mentor and training support expert to other project team members Excellent verbal and written communication skills. Demonstrated skills in providing senior leadership, motivation, vision and direction. Proven success in developing and maintaining advanced and complex customer relationships. Extensive knowledge of the principles, procedures, and best practices in the industry. Excellent organizational skills and attention to detail. Strong analytical and problem-solving skills. Proficient with Microsoft Office Suite or related software Preferred Ability to read, understand, and provide constructability improvements from all issued project documents including but not limited to civil prints, below grade station prints, above grade station prints, wiring and schematic prints, station layout prints, one-line diagrams, and outage plans. Travel Travel for this position is required and will consist of overnight stays. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to see, talk and hear. The employee is required to sit at a desk and work on a computer for prolonged periods of time. PIacc3a5-
National Radio Astronomy Observatory
Big Pine, California
National Radio Astronomy Observatory Title: VLBA Specialist II-III Location: VLBA Site - Owens Valley, CA, 90 Leighton Lane, Big Pine, California, United States of America Requisition Number: 226 Job Family: Technical Specialist Pay Type: Hourly Required Education: NET Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. The National Radio Astronomy Observatory (NRAO) announces an VLBA Station Specialist. The VLBA Station Specialist is a hands-on technical staff member skilled and experienced in multiple areas such as digital and analog electronics, mechanical hardware, HVAC systems, general site maintenance, and operations support. NRAO is seeking an employee willing to climb a large radio telescope antenna, troubleshoot and fix problems there or in the site building, and otherwise keep the site operational to enable astronomical data to be continuously received, processed, and delivered for scientific study. This is a rewarding opportunity, where the tenure of Specialists is typically measured in decades due to the interesting work and the Observatory's great benefits and work-life balance. In general, the Specialist, along with another Specialist, is responsible for installation, repairs, and maintenance at the Very Long Baseline Array Station located in Owens Valley, CA. The station includes the 25-meter antenna and support infrastructure and is part of a 10-antenna array, spread across the US, all capturing radio astronomical data delivered to a centrally located correlator. The Specialist will interact with other personnel at these sites and at the correlator site. The Specialist must respond to emergency repair situations as dictated by the impact on the station's ability to perform intended functions. The employee typically works with the other Specialist, but is occasionally solo when schedule issues arise and is on-call on alternating weekends. What You Will be Doing: The position performs maintenance, inspection, testing, troubleshooting, repair, data delivery and other work on the Very Long Baseline Array Station, including the 25-meter Antenna. The station includes Radio Frequency receiver and cryogenic systems, data and communications equipment, data recorders, recording media, servo control systems, mechanical drive equipment, and weather stations. Routine duties include: Using standard electronic test equipment, recording effects on unit performance, inspection, and adjustment and/or replacement of defective system components. Performing scheduled maintenance, lubrication and mechanical and electronic inspections. Monitoring and maintenance of all systems for proper operation. This includes the emergency power generating equipment, fire alarms, and HVAC systems. Consultation with the other VLBA Specialist assigned to this site and with NRAO technicians and engineers located elsewhere in formulating and planning corrective actions. Other preventive and corrective maintenance on hardware, test equipment, and peripheral equipment, including inspection against specifications or for quality. Use of electronics test equipment such as digital multimeters, spectrum analyzers, oscilloscopes, signal generators, and power supplies. Use of hand tools for mechanical work or repair. Upkeep of the site and facilities . Additional duties include: Writing technical reports and developing charts, graphs, and schematics to describe equipment's operating characteristics, malfunctions, deviations from design specifications, and functional limitations. This includes documentation of work performed. Recommendation of changes required to achieve functional requirements of the units. Maintenance and servicing of facilities and equipment, including creation of records and reports. Proactive compliance with all NRAO policies and procedures is required. Other duties may be assigned. May be asked to travel to other VLBA sites to support maintenance. Personnel management responsibilities include: Providing staff prioritization, performance evaluation, mentoring of employees, coaching, team building, and conflict resolution. Reviewing timesheets and periodic performance reviews, including interacting with the Human Resources and Business departments of the Observatory when necessary. With guidance, support and training from the Observatory Human Resource Department, timely addresses personnel matters, ensuring compliance with applicable policies such as conduct, recruitment, diversity and inclusion, employee development, performance management, and regulatory compliance. Interpreting, implementing, developing and/or recommending changes to rules, regulations, policies and procedures set forth by the Observatory. Complying with NRAO and government safety policies and procedures in group's area of work. Work Environment The Specialist frequently works in high places, up to 100 feet, in outside weather conditions. The noise level in the work environment is usually moderate. The employee works near moving mechanical parts and is exposed to electrical hazards. These and other situations mean the employee is often responsible to perform lockout/tag out to create a safe work environment. Who You Are: Education Associate of Science degree or equivalent in Electronics. While not required, you may have a Bachelor's Degree in a related field. Experience You have two years of experience in the Electronics or Electrical fields. Qualified candidates with 5 or more years of experience may be considered for the Specialist II classification. While not required, you may have five or more years of experience in the Electronics training or Electrical fields, with experience in technical support radio astronomy or telecommunications equipment and installations. Skills and Competencies Candidates must have the ability to work independently and reliably with minimal direct supervision. They must be able to communicate effectively both verbally and in writing and operate a personal computer and common software. They must be able to solve technical problems and deal with a variety of situations where only limited documentation and standardization may exist. Candidates must have and maintain a current Driver's License and they may be required to drive Observatory vehicles. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Safety Sensitive The selected candidate must successfully pass a post-offer, pre-employment/pre-placement drug screen. Failure to pass the Screen will disqualify the candidate from employment consideration for a period of six months from the date of the results. Total Rewards: Compensation The starting salary/hourly rate of this position is between $36.02-$46.69 per hour. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 36.02-46.69 Hourly Wage PIea425f34f5-
08/10/2026
Full time
National Radio Astronomy Observatory Title: VLBA Specialist II-III Location: VLBA Site - Owens Valley, CA, 90 Leighton Lane, Big Pine, California, United States of America Requisition Number: 226 Job Family: Technical Specialist Pay Type: Hourly Required Education: NET Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. The National Radio Astronomy Observatory (NRAO) announces an VLBA Station Specialist. The VLBA Station Specialist is a hands-on technical staff member skilled and experienced in multiple areas such as digital and analog electronics, mechanical hardware, HVAC systems, general site maintenance, and operations support. NRAO is seeking an employee willing to climb a large radio telescope antenna, troubleshoot and fix problems there or in the site building, and otherwise keep the site operational to enable astronomical data to be continuously received, processed, and delivered for scientific study. This is a rewarding opportunity, where the tenure of Specialists is typically measured in decades due to the interesting work and the Observatory's great benefits and work-life balance. In general, the Specialist, along with another Specialist, is responsible for installation, repairs, and maintenance at the Very Long Baseline Array Station located in Owens Valley, CA. The station includes the 25-meter antenna and support infrastructure and is part of a 10-antenna array, spread across the US, all capturing radio astronomical data delivered to a centrally located correlator. The Specialist will interact with other personnel at these sites and at the correlator site. The Specialist must respond to emergency repair situations as dictated by the impact on the station's ability to perform intended functions. The employee typically works with the other Specialist, but is occasionally solo when schedule issues arise and is on-call on alternating weekends. What You Will be Doing: The position performs maintenance, inspection, testing, troubleshooting, repair, data delivery and other work on the Very Long Baseline Array Station, including the 25-meter Antenna. The station includes Radio Frequency receiver and cryogenic systems, data and communications equipment, data recorders, recording media, servo control systems, mechanical drive equipment, and weather stations. Routine duties include: Using standard electronic test equipment, recording effects on unit performance, inspection, and adjustment and/or replacement of defective system components. Performing scheduled maintenance, lubrication and mechanical and electronic inspections. Monitoring and maintenance of all systems for proper operation. This includes the emergency power generating equipment, fire alarms, and HVAC systems. Consultation with the other VLBA Specialist assigned to this site and with NRAO technicians and engineers located elsewhere in formulating and planning corrective actions. Other preventive and corrective maintenance on hardware, test equipment, and peripheral equipment, including inspection against specifications or for quality. Use of electronics test equipment such as digital multimeters, spectrum analyzers, oscilloscopes, signal generators, and power supplies. Use of hand tools for mechanical work or repair. Upkeep of the site and facilities . Additional duties include: Writing technical reports and developing charts, graphs, and schematics to describe equipment's operating characteristics, malfunctions, deviations from design specifications, and functional limitations. This includes documentation of work performed. Recommendation of changes required to achieve functional requirements of the units. Maintenance and servicing of facilities and equipment, including creation of records and reports. Proactive compliance with all NRAO policies and procedures is required. Other duties may be assigned. May be asked to travel to other VLBA sites to support maintenance. Personnel management responsibilities include: Providing staff prioritization, performance evaluation, mentoring of employees, coaching, team building, and conflict resolution. Reviewing timesheets and periodic performance reviews, including interacting with the Human Resources and Business departments of the Observatory when necessary. With guidance, support and training from the Observatory Human Resource Department, timely addresses personnel matters, ensuring compliance with applicable policies such as conduct, recruitment, diversity and inclusion, employee development, performance management, and regulatory compliance. Interpreting, implementing, developing and/or recommending changes to rules, regulations, policies and procedures set forth by the Observatory. Complying with NRAO and government safety policies and procedures in group's area of work. Work Environment The Specialist frequently works in high places, up to 100 feet, in outside weather conditions. The noise level in the work environment is usually moderate. The employee works near moving mechanical parts and is exposed to electrical hazards. These and other situations mean the employee is often responsible to perform lockout/tag out to create a safe work environment. Who You Are: Education Associate of Science degree or equivalent in Electronics. While not required, you may have a Bachelor's Degree in a related field. Experience You have two years of experience in the Electronics or Electrical fields. Qualified candidates with 5 or more years of experience may be considered for the Specialist II classification. While not required, you may have five or more years of experience in the Electronics training or Electrical fields, with experience in technical support radio astronomy or telecommunications equipment and installations. Skills and Competencies Candidates must have the ability to work independently and reliably with minimal direct supervision. They must be able to communicate effectively both verbally and in writing and operate a personal computer and common software. They must be able to solve technical problems and deal with a variety of situations where only limited documentation and standardization may exist. Candidates must have and maintain a current Driver's License and they may be required to drive Observatory vehicles. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Safety Sensitive The selected candidate must successfully pass a post-offer, pre-employment/pre-placement drug screen. Failure to pass the Screen will disqualify the candidate from employment consideration for a period of six months from the date of the results. Total Rewards: Compensation The starting salary/hourly rate of this position is between $36.02-$46.69 per hour. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 36.02-46.69 Hourly Wage PIea425f34f5-
Date Posted: 2026-06-22 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Systems Engineer II - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Systems Engineer II - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/10/2026
Full time
Date Posted: 2026-06-22 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Systems Engineer II - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Systems Engineer II - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking multiple Software Engineers (Associate/Experienced/Senior) to join the Mission Systems Software team located in Daytona Beach, FL. We are seeking a highly motivated Software Engineer to design and implement new capabilities in the Operational Flight Program (OFP) for both the United States Air Force (USAF) and international customers. The candidate will join one of the multi-discipline Agile scrum teams that develop, integrate, and maintain a wide range of aircraft functionalities. Software capabilities will be developed for the Advanced Display Core Processor II (ADCP II), the brains of the Eagle. The successful candidate will implement and test new cutting-edge capabilities and integrate them with a variety of other aircraft subsystems. At Boeing, our software engineers use their expertise to dream up next generation software capabilities for some amazing aerospace platforms. Boeing encourages its engineers to move up as technical leads as well as gives them opportunities to grow into management. Join us and you will have the unique opportunity to develop real-time embedded software for the most sophisticated military platforms in the world. Across Commercial, Defense and Global Services, our teams are developing software for next generation trainers; tactical fighter aircraft; helicopters; unmanned air vehicles; space, satellite, and weapons systems; state of the art flight simulators; cybersecurity solutions, and much more. We work in a casual but professional environment with multi-disciplined teams of engineers that take pride in developing, integrating, testing and delivering innovative solutions. There is long-term potential for career growth into technical leadership or management positions and we value the curiosity, tenacity and imagination our engineers bring to our teams each day. Position Responsibilities: Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software systems Develops and maintains code and integrates software components into a fully functional software system Develops software verification plans, test procedures and test environments, executing the test procedures and documenting test results to ensure software system requirements are met Executes and documents software research and development projects Serves as a subject matter expert for software domains, system-specific issues, processes and regulations Troubleshoots software issues Works under general direction This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Basic Qualifications (Required Skills/ Experience): Bachelor Degree Active Secret Clearance 2+ years of experience in C, C++, C#, Python, Java, or Ada 2+ years of experience developing, documenting, and maintaining architectures, algorithms, interfaces, and designs for software systems Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Agile/SAFe development experience Experience with DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Jira, Jenkins, and Artifactory Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience working with Real-time Operating Systems (RTOS) Travel: less than 10%. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $77,000.00 - $137,000.00 Summary pay range for Experienced: $98,000.00 - $173,000.00 Summary pay range for Senior: $124,000.00 - $220,000.00 Applications for this position will be accepted until Aug. 29, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/10/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking multiple Software Engineers (Associate/Experienced/Senior) to join the Mission Systems Software team located in Daytona Beach, FL. We are seeking a highly motivated Software Engineer to design and implement new capabilities in the Operational Flight Program (OFP) for both the United States Air Force (USAF) and international customers. The candidate will join one of the multi-discipline Agile scrum teams that develop, integrate, and maintain a wide range of aircraft functionalities. Software capabilities will be developed for the Advanced Display Core Processor II (ADCP II), the brains of the Eagle. The successful candidate will implement and test new cutting-edge capabilities and integrate them with a variety of other aircraft subsystems. At Boeing, our software engineers use their expertise to dream up next generation software capabilities for some amazing aerospace platforms. Boeing encourages its engineers to move up as technical leads as well as gives them opportunities to grow into management. Join us and you will have the unique opportunity to develop real-time embedded software for the most sophisticated military platforms in the world. Across Commercial, Defense and Global Services, our teams are developing software for next generation trainers; tactical fighter aircraft; helicopters; unmanned air vehicles; space, satellite, and weapons systems; state of the art flight simulators; cybersecurity solutions, and much more. We work in a casual but professional environment with multi-disciplined teams of engineers that take pride in developing, integrating, testing and delivering innovative solutions. There is long-term potential for career growth into technical leadership or management positions and we value the curiosity, tenacity and imagination our engineers bring to our teams each day. Position Responsibilities: Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software systems Develops and maintains code and integrates software components into a fully functional software system Develops software verification plans, test procedures and test environments, executing the test procedures and documenting test results to ensure software system requirements are met Executes and documents software research and development projects Serves as a subject matter expert for software domains, system-specific issues, processes and regulations Troubleshoots software issues Works under general direction This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Basic Qualifications (Required Skills/ Experience): Bachelor Degree Active Secret Clearance 2+ years of experience in C, C++, C#, Python, Java, or Ada 2+ years of experience developing, documenting, and maintaining architectures, algorithms, interfaces, and designs for software systems Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Agile/SAFe development experience Experience with DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Jira, Jenkins, and Artifactory Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience working with Real-time Operating Systems (RTOS) Travel: less than 10%. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $77,000.00 - $137,000.00 Summary pay range for Experienced: $98,000.00 - $173,000.00 Summary pay range for Senior: $124,000.00 - $220,000.00 Applications for this position will be accepted until Aug. 29, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.