Discover. A brighter future. With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description: Discover. A brighter future. With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description: As part of the Collections Value Stream within Discover, you will work on an Agile Team with our business partners to build and maintain consumer focused systems within our Company. Within our Collections Omni-Channel Team, we are looking to modernize and take systems to the next level by building out to be flexible, scalable, and maintainable that will serve both our customers and internal users. If you are truly passionate about technology and enjoy being part of a highly innovative, collaborative team then this role is for you! As an Application Engineer Full Stack on the team responsible for Probate and Bankruptcy, you'll build and release reliable software systems at scale. By partnering with enterprise-wide) teams, you'll develop and maintain full stack solutions that fit our business needs. You'll use your holistic view of all products (and their interactions) to design elegant solutions and strategize the future state of our larger technical ecosystem. By independently innovating and advocating for best practices, you'll solve complex problems and guide the team on implementing solutions from inception to production. Responsibilities: Contribute to product team deliverables using Java programming technology Diagnose opportunities for automation and efficiency in the end-to-end product delivery cycle Solve complex technical problems and explore new ways to bring value Collaborate with our business partners to understand all business requirements Analyze, design, program, test, and deploy new user stories and features with high quality (security, reliability, operations) to production Achieves team commitments (and influence others to do the same) by using informal leadership & highly developed communication skills Oversight on design decisions and guides team to achieve key results for products assigned Remediates issues using engineering principles and creates proactive design solutions for potential failures Contributes to and leads technology communities at Discover Minimum Qualifications, at a minimum, here's what we need from you: Bachelors - Computer Science or related 3+ Years - Information Technology, (Software) Engineering, or related Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale Preferred Qualifications, bonus points if you have: Spring Boot, Spring MVC React and/or Angular Experience with modernizing legacy platforms Cloud Technology - AWS, Pivotal Cloud Foundry, OpenShift Extreme automation mindset as pertains to testing and build/deploy concepts CI/CD Pipeline experience via Jenkins, Github Actions, Chef, Ansible, Nexus Techstack include Java, Spring, Kafka, Openshift, and Jenkins Application Deadline: The application window for this position is anticipated to close on Apr-02-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed. Compensation: The base pay for this position generally ranges between $86,500.00 to $146,100.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position. Benefits: We also offer a range of benefits and programs based on eligibility. These benefits include: Paid Parental Leave Paid Time Off 401(k) Plan Medical, Dental, Vision, & Health Savings Account STD, Life, LTD and AD&D Recognition Program Education Assistance Commuter Benefits Family Support Programs Employee Stock Purchase Plan Learn more at . What are you waiting for? Apply today! All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management. Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights) Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email . Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.
03/29/2024
Full time
Discover. A brighter future. With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description: Discover. A brighter future. With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description: As part of the Collections Value Stream within Discover, you will work on an Agile Team with our business partners to build and maintain consumer focused systems within our Company. Within our Collections Omni-Channel Team, we are looking to modernize and take systems to the next level by building out to be flexible, scalable, and maintainable that will serve both our customers and internal users. If you are truly passionate about technology and enjoy being part of a highly innovative, collaborative team then this role is for you! As an Application Engineer Full Stack on the team responsible for Probate and Bankruptcy, you'll build and release reliable software systems at scale. By partnering with enterprise-wide) teams, you'll develop and maintain full stack solutions that fit our business needs. You'll use your holistic view of all products (and their interactions) to design elegant solutions and strategize the future state of our larger technical ecosystem. By independently innovating and advocating for best practices, you'll solve complex problems and guide the team on implementing solutions from inception to production. Responsibilities: Contribute to product team deliverables using Java programming technology Diagnose opportunities for automation and efficiency in the end-to-end product delivery cycle Solve complex technical problems and explore new ways to bring value Collaborate with our business partners to understand all business requirements Analyze, design, program, test, and deploy new user stories and features with high quality (security, reliability, operations) to production Achieves team commitments (and influence others to do the same) by using informal leadership & highly developed communication skills Oversight on design decisions and guides team to achieve key results for products assigned Remediates issues using engineering principles and creates proactive design solutions for potential failures Contributes to and leads technology communities at Discover Minimum Qualifications, at a minimum, here's what we need from you: Bachelors - Computer Science or related 3+ Years - Information Technology, (Software) Engineering, or related Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale Preferred Qualifications, bonus points if you have: Spring Boot, Spring MVC React and/or Angular Experience with modernizing legacy platforms Cloud Technology - AWS, Pivotal Cloud Foundry, OpenShift Extreme automation mindset as pertains to testing and build/deploy concepts CI/CD Pipeline experience via Jenkins, Github Actions, Chef, Ansible, Nexus Techstack include Java, Spring, Kafka, Openshift, and Jenkins Application Deadline: The application window for this position is anticipated to close on Apr-02-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed. Compensation: The base pay for this position generally ranges between $86,500.00 to $146,100.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position. Benefits: We also offer a range of benefits and programs based on eligibility. These benefits include: Paid Parental Leave Paid Time Off 401(k) Plan Medical, Dental, Vision, & Health Savings Account STD, Life, LTD and AD&D Recognition Program Education Assistance Commuter Benefits Family Support Programs Employee Stock Purchase Plan Learn more at . What are you waiting for? Apply today! All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management. Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights) Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email . Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
03/29/2024
Full time
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
Date Posted: 2024-02-26 Country: United States of America Location: AZ201: RMS AP Bldg East Hermans Road Building 801, Tucson, AZ, 85756 USA Position Role Type: Hybrid At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. Job Summary: Raytheon's Effector Power and Analog Design (EPAD) Team is looking for junior to mid-level engineers who have power electronics knowledge to help design robust power systems. The Effector Power and Analog Design Department is responsible for the development, from concept to integration, of Telemetry and Flight Termination products; power systems from all up round to the lowest level power regulation; servo electronics supporting all mechanical motion in our products and low noise mixed signal electronics that provides the analog to digital interface to our front-end sensors. Each of these products generally operate in lower power and voltage ranges less than 10kW and 1000V. We value diverse skills and experience, so don't hold back. Your qualifications could add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you're passionate about what you could accomplish here, we'd love to hear from you. The position is for the Tucson, AZ location and is a hybrid role. Responsibilities to Anticipate: Design, analyze, simulate, test, and document power conversion (and related analog) circuitry. This circuitry will dominantly involve non-isolated and isolated switch mode power converters and linear converters. Main emphasis is on board-mounted power end use applications. Assist in architecting at the circuit card level. Help to see circuit card development through its design phases, from requirements definition through initial integration testing. Drive to meet schedule concerns. Define schedules for circuit level tasking. Guide ECAD drafters through layout and routing activities, with moderate support from senior engineers. Assist in layer stackup definition. Function as an individual contributor. Understand the role of a small team lead. Engage in personal technical growth. Clearly present your work product to functional and program leadership. Basic Qualifications: Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and 2 years of prior relevant experience. Design, analysis, test, and/or simulation experience with one or more of the following non-isolated converter topologies: buck, boost, buck-boost. Experience using tools such as MATLAB, MathCAD, Mathematica, or other similar tools. Experience with analog electronics design, including at least one of the following: FETs/BJTs, op-amp, high/low/band pass filters, clock/data termination, and comparator circuits. The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Preferred Qualifications: An advanced degree in Electrical Engineering A self-starter, a quick learner, be able to function in a dynamic environment, and have good time management skills. Should have an appreciation for how successful teams are structured. Experience communicating and documenting technical topics at the small team level. Experience in any one of the following: Digital power electronics design, analysis, simulation, and test. Includes familiarity with embedded systems architecture and firmware development for digitally controlled power supplies. Conceptual familiarity with wide bandgap devices (SiC, GaN) in power electronics designs. Wide bandgap devices (SiC, GaN) in power electronics designs.Conceptual familiarity with Mentor Graphics DxDesigner, and/or Hyperlynx. Circuit simulator SIMPLIS, and/or system simulator SABER. Mentor Graphics DxDesigner, and/or Hyperlynx. Acting as a liaison between program and functional management in a cross-matrixed organization. Military specifications. Design considerations for voltages > 400V and/or power > 10kW. Three-phase power systems, power factor control, and inverter/rectifier development. Motor control development. Program management tools such as Earned Value. Proposal development. What We Offer : Whether you're just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care. Location Information: This position is located in beautiful Tucson, AZ. Tucson has a friendly, caring and laid-back atmosphere, combined with the innovation and energy of a metropolitan region and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Tucson, AZ: ,-az-location Clearance Information: This position requires the eligibility to obtain a security clearance. The Defense Industrial Security Clearance Office (DISCO), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: The salary range for this role is 64,000 USD - 128,000 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/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Privacy Policy and Terms: Click on this link to read the Policy and Terms
03/29/2024
Full time
Date Posted: 2024-02-26 Country: United States of America Location: AZ201: RMS AP Bldg East Hermans Road Building 801, Tucson, AZ, 85756 USA Position Role Type: Hybrid At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. Job Summary: Raytheon's Effector Power and Analog Design (EPAD) Team is looking for junior to mid-level engineers who have power electronics knowledge to help design robust power systems. The Effector Power and Analog Design Department is responsible for the development, from concept to integration, of Telemetry and Flight Termination products; power systems from all up round to the lowest level power regulation; servo electronics supporting all mechanical motion in our products and low noise mixed signal electronics that provides the analog to digital interface to our front-end sensors. Each of these products generally operate in lower power and voltage ranges less than 10kW and 1000V. We value diverse skills and experience, so don't hold back. Your qualifications could add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you're passionate about what you could accomplish here, we'd love to hear from you. The position is for the Tucson, AZ location and is a hybrid role. Responsibilities to Anticipate: Design, analyze, simulate, test, and document power conversion (and related analog) circuitry. This circuitry will dominantly involve non-isolated and isolated switch mode power converters and linear converters. Main emphasis is on board-mounted power end use applications. Assist in architecting at the circuit card level. Help to see circuit card development through its design phases, from requirements definition through initial integration testing. Drive to meet schedule concerns. Define schedules for circuit level tasking. Guide ECAD drafters through layout and routing activities, with moderate support from senior engineers. Assist in layer stackup definition. Function as an individual contributor. Understand the role of a small team lead. Engage in personal technical growth. Clearly present your work product to functional and program leadership. Basic Qualifications: Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and 2 years of prior relevant experience. Design, analysis, test, and/or simulation experience with one or more of the following non-isolated converter topologies: buck, boost, buck-boost. Experience using tools such as MATLAB, MathCAD, Mathematica, or other similar tools. Experience with analog electronics design, including at least one of the following: FETs/BJTs, op-amp, high/low/band pass filters, clock/data termination, and comparator circuits. The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Preferred Qualifications: An advanced degree in Electrical Engineering A self-starter, a quick learner, be able to function in a dynamic environment, and have good time management skills. Should have an appreciation for how successful teams are structured. Experience communicating and documenting technical topics at the small team level. Experience in any one of the following: Digital power electronics design, analysis, simulation, and test. Includes familiarity with embedded systems architecture and firmware development for digitally controlled power supplies. Conceptual familiarity with wide bandgap devices (SiC, GaN) in power electronics designs. Wide bandgap devices (SiC, GaN) in power electronics designs.Conceptual familiarity with Mentor Graphics DxDesigner, and/or Hyperlynx. Circuit simulator SIMPLIS, and/or system simulator SABER. Mentor Graphics DxDesigner, and/or Hyperlynx. Acting as a liaison between program and functional management in a cross-matrixed organization. Military specifications. Design considerations for voltages > 400V and/or power > 10kW. Three-phase power systems, power factor control, and inverter/rectifier development. Motor control development. Program management tools such as Earned Value. Proposal development. What We Offer : Whether you're just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care. Location Information: This position is located in beautiful Tucson, AZ. Tucson has a friendly, caring and laid-back atmosphere, combined with the innovation and energy of a metropolitan region and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Tucson, AZ: ,-az-location Clearance Information: This position requires the eligibility to obtain a security clearance. The Defense Industrial Security Clearance Office (DISCO), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: The salary range for this role is 64,000 USD - 128,000 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/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
03/29/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
03/29/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
Center 1 (19052), United States of America, McLean, Virginia Lead Generative AI Infrastructure Engineer (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 6 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 years of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. At this time, Capital One will not sponsor a new 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. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
03/29/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Lead Generative AI Infrastructure Engineer (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 6 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 years of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. At this time, Capital One will not sponsor a new 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. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 9 years of experience designing and building distributed computing HPC and large-scale ML systems At least 6 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
03/29/2024
Full time
Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 9 years of experience designing and building distributed computing HPC and large-scale ML systems At least 6 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
Role: Field Engineer Manager On-Site: Ashburn, Virginia Salary: $140,000 - $180,000 Recruiting Heroes is looking for a highly motivated and experienced Field Engineer Manager to join our client in Ashburn, Virginia. POSITION SUMMARY We are seeking a Manager, Field Services to join our high-performance team and be a part of our journey to shape the future of the Northern Virginia area data center community by delivering resilient and sustainable solutions that make a difference. The ideal candidate is highly skilled and have demonstrated successful performance in developing and managing a service team, ideally in diesel fuel related mechanical, controls and SCR (pollution control/reduction systems) facility work and have a proven track record of profitable revenue growth. The Manager, Field Services will be responsible for developing and managing a service team, leveraging strong customer relationships to drive new revenue streams, oversee on-site services, provide exceptional leadership and upholding the highest standards of customer service excellence. KEY RESPONSIBILITIES As the Manager, Field Services at ESI Total Fuel Management, your key responsibilities will be: MANAGING SERVICE DEPARTMENT ACTIVITIES AND PROVIDING TECHNICAL LEADERSHIP: From project scheduling to customer relations, you'll oversee and participate as needed in all service department activities and provide your expertise. GROWING PROFITABLE REVENUE: Your role will involve leveraging current and new customer relationships to gain new service contracts and equipment sales opportunities. MAINTAINING QUALITY STANDARDS: Interface with ESIs QC Manager to ensure all service department activities align with ESIs ISO 9001 quality standards PROJECT MANAGEMENT FOR CONTRACT SERVICES: You will manage projects related to fuel contract services, emergency fuel management services, and SCR services KEY TEAM JOB TASKS Mechanical and control system projects Maintenance, upgrades and repairs, and consulting support for new business Managing SCR start-up and life-cycle services Working with electrical power systems, electrical testing systems, CAD, Selective Catalytic Reduction (SCR) Environmental Compliance - DEQ: SCR/Stack Testing, UST Compliance Testing, ATG testing KEY COMPETENCIES Servant Leadership in developing and building a high-performance service team Working experience with mechanical, controls, electrical systems, SCRs, testing, environmental compliance and AutoCAD EDUCATION AND EXPERIENCE REQUIRED BS, Mechanical or Electrical Engineering preferred; equivalent work experience will be considered. 5-7 years relevant experience including team and project leadership in field services environment supporting equipment manufactured for emergency power systems, building facilities services, HVAC or control systems ATTRIBUTES DESIRED Positive and personable high-performing team member Servant leader who demonstrates integrity, reliability, and stability Focused and driven, seeking to grow and increase knowledge Exemplary character and integrity Who We Are: Recruiting Heroes url removed is an employment agency founded by a former First Responder. We are dedicated to finding amazing careers for America's Veterans and First Responders. Recruiting Heroes LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected Veteran status.
03/28/2024
Full time
Role: Field Engineer Manager On-Site: Ashburn, Virginia Salary: $140,000 - $180,000 Recruiting Heroes is looking for a highly motivated and experienced Field Engineer Manager to join our client in Ashburn, Virginia. POSITION SUMMARY We are seeking a Manager, Field Services to join our high-performance team and be a part of our journey to shape the future of the Northern Virginia area data center community by delivering resilient and sustainable solutions that make a difference. The ideal candidate is highly skilled and have demonstrated successful performance in developing and managing a service team, ideally in diesel fuel related mechanical, controls and SCR (pollution control/reduction systems) facility work and have a proven track record of profitable revenue growth. The Manager, Field Services will be responsible for developing and managing a service team, leveraging strong customer relationships to drive new revenue streams, oversee on-site services, provide exceptional leadership and upholding the highest standards of customer service excellence. KEY RESPONSIBILITIES As the Manager, Field Services at ESI Total Fuel Management, your key responsibilities will be: MANAGING SERVICE DEPARTMENT ACTIVITIES AND PROVIDING TECHNICAL LEADERSHIP: From project scheduling to customer relations, you'll oversee and participate as needed in all service department activities and provide your expertise. GROWING PROFITABLE REVENUE: Your role will involve leveraging current and new customer relationships to gain new service contracts and equipment sales opportunities. MAINTAINING QUALITY STANDARDS: Interface with ESIs QC Manager to ensure all service department activities align with ESIs ISO 9001 quality standards PROJECT MANAGEMENT FOR CONTRACT SERVICES: You will manage projects related to fuel contract services, emergency fuel management services, and SCR services KEY TEAM JOB TASKS Mechanical and control system projects Maintenance, upgrades and repairs, and consulting support for new business Managing SCR start-up and life-cycle services Working with electrical power systems, electrical testing systems, CAD, Selective Catalytic Reduction (SCR) Environmental Compliance - DEQ: SCR/Stack Testing, UST Compliance Testing, ATG testing KEY COMPETENCIES Servant Leadership in developing and building a high-performance service team Working experience with mechanical, controls, electrical systems, SCRs, testing, environmental compliance and AutoCAD EDUCATION AND EXPERIENCE REQUIRED BS, Mechanical or Electrical Engineering preferred; equivalent work experience will be considered. 5-7 years relevant experience including team and project leadership in field services environment supporting equipment manufactured for emergency power systems, building facilities services, HVAC or control systems ATTRIBUTES DESIRED Positive and personable high-performing team member Servant leader who demonstrates integrity, reliability, and stability Focused and driven, seeking to grow and increase knowledge Exemplary character and integrity Who We Are: Recruiting Heroes url removed is an employment agency founded by a former First Responder. We are dedicated to finding amazing careers for America's Veterans and First Responders. Recruiting Heroes LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected Veteran status.
Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 9 years of experience designing and building distributed computing HPC and large-scale ML systems At least 6 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
03/28/2024
Full time
Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 9 years of experience designing and building distributed computing HPC and large-scale ML systems At least 6 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
Center 1 (19052), United States of America, McLean, Virginia Lead Generative AI Infrastructure Engineer (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 6 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 years of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. At this time, Capital One will not sponsor a new 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. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
03/28/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Lead Generative AI Infrastructure Engineer (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 6 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 years of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. At this time, Capital One will not sponsor a new 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. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
NOT A C2C OPPORTUNITY We are looking for a Senior 3GPP Wireless Core Design Engineer Architect who will be an integral part our global communication network engineering team. The network and systems architected and designed by this team enables our in-flight communication growth at a large scale and is the IP foundation for our next generation satellite multimedia communication service. The SME in the comprehensive Wifi roaming domain, includes 3GPP mobile core network, TWAG, Passpoint/HS2.0, EAP-SIM, EAP-AKA, EAP-TTLS, and so on wireless network knowledge domain. Excellent problem-solving skills and thorough knowledge of the network Major responsibilities: Align with Principal architect/engineer vision and roadmap, independently create architecture, design, evaluate and test of Mobile Network Wifi Roaming, Wireless Access Gateway. Support 3GPP HnB nodes/interfaces life cycles management. Lead wireless network design efforts on technical solutions for complex projects, integrating multiple technologies and with broad, strategic impact across multiple business and technology areas. Provides analysis of network performance, network reliability and identify opportunity for improvement. Drive out inefficiencies, proposes and designs ground network system to drive cost savings in airline customer facing network systems. Create network unit and integration test plan Test wireless network devices and solutions, include new architecture proof of concept test, change procedure test, upgrade regression test Create architecture research plan and report Create design document Create configuration standard document Create test plan & report document Participation in business continuation activities Configuration and troubleshoot training to operation teams Leverage experience to provide mentoring to other members of technical team where necessary. Provide tier-4 support to operation team Knowledge/skill requirements: Must have strong knowledge and experience on Cellular core, TWAG(Trusted Wireless Access Gateway), Wifi roaming, Passpoint, EAP-SIM, EAP-AKA, 3GPP standard, TCP/IP, Diameter, QOS, and all layers of OSI model. Must have extensive knowledge of 802.11 wireless standards, technologies, methodologies, and security practices Must have deep knowledge and experience in using 3GPP interfaces, such as S5, S6a/S6d, Gr, S9, Gx, Rx, SGi, etc Must have extensive experience and knowledge of Authentication, Authorization, and Accounting (AAA) protocols such as RADIUS and IEEE 802.1X standards. Must have strong Unix/Linux system administrator or engineering experience Must have experience with WLAN and WAP. Nice to have experience with virtualized implementation (SDN/NFV) of Network/Telco nodes under NFV, OpenStack, etc. Nice to have knowledge of Evolved Packet Core/System call flows and interworking. Nice to have working knowledge on routing protocols, such as BGP, OSPF, QoS, MPLS and MPLS VPN, etc. Must have exceptional documentation skills that can clearly articulate technical designs, issues and constraints, procedures, and network assessments Must have strong communication skills and a positive attitude Must have strong analytical and problem determination/resolution skills. Must have excellent problem-solving skills and thorough knowledge of network Must have self-motivated, Self-Reliant, Self-Starting, Go-Getter, Attitude of ownership, and A strong desire to learn Must have works well in an engineering environment that requires communication and collaboration with fellow team members, and cross function teams Education/Experience Requirements Education Requirements - bachelor's degree and above in technical field required. Working Experience - 10+ years wireless cellular mobile core network and Wi-Fi roaming design, implementation, and operation Other Requirements: Working Conditions/Physical Elements Must have flexibility of working extended hours, weekends, holidays to respond to customer needs and requirements. Normal office and lab environment. No heavy lifting or extreme physical labor is required. Travel requirements - 25% travel will be required depending on the phase of each project. Manager notes: Highly regulated industry Need to figure out compliance in other countries and passengers from other countries, spacial skills. Worked with Telecom provider Project: WIFI Loomi Project To have internet access on an airplane and we are going to partner with cell phone carrier to just charge through the carrier and then we provide the platform and service for WIFI on airplane. Why this project: We are still developing the solution and then the follow on would be implementation and operations. Great opportunity to see a huge project from start to finish and maintain. Long term and stable project.
03/28/2024
Full time
NOT A C2C OPPORTUNITY We are looking for a Senior 3GPP Wireless Core Design Engineer Architect who will be an integral part our global communication network engineering team. The network and systems architected and designed by this team enables our in-flight communication growth at a large scale and is the IP foundation for our next generation satellite multimedia communication service. The SME in the comprehensive Wifi roaming domain, includes 3GPP mobile core network, TWAG, Passpoint/HS2.0, EAP-SIM, EAP-AKA, EAP-TTLS, and so on wireless network knowledge domain. Excellent problem-solving skills and thorough knowledge of the network Major responsibilities: Align with Principal architect/engineer vision and roadmap, independently create architecture, design, evaluate and test of Mobile Network Wifi Roaming, Wireless Access Gateway. Support 3GPP HnB nodes/interfaces life cycles management. Lead wireless network design efforts on technical solutions for complex projects, integrating multiple technologies and with broad, strategic impact across multiple business and technology areas. Provides analysis of network performance, network reliability and identify opportunity for improvement. Drive out inefficiencies, proposes and designs ground network system to drive cost savings in airline customer facing network systems. Create network unit and integration test plan Test wireless network devices and solutions, include new architecture proof of concept test, change procedure test, upgrade regression test Create architecture research plan and report Create design document Create configuration standard document Create test plan & report document Participation in business continuation activities Configuration and troubleshoot training to operation teams Leverage experience to provide mentoring to other members of technical team where necessary. Provide tier-4 support to operation team Knowledge/skill requirements: Must have strong knowledge and experience on Cellular core, TWAG(Trusted Wireless Access Gateway), Wifi roaming, Passpoint, EAP-SIM, EAP-AKA, 3GPP standard, TCP/IP, Diameter, QOS, and all layers of OSI model. Must have extensive knowledge of 802.11 wireless standards, technologies, methodologies, and security practices Must have deep knowledge and experience in using 3GPP interfaces, such as S5, S6a/S6d, Gr, S9, Gx, Rx, SGi, etc Must have extensive experience and knowledge of Authentication, Authorization, and Accounting (AAA) protocols such as RADIUS and IEEE 802.1X standards. Must have strong Unix/Linux system administrator or engineering experience Must have experience with WLAN and WAP. Nice to have experience with virtualized implementation (SDN/NFV) of Network/Telco nodes under NFV, OpenStack, etc. Nice to have knowledge of Evolved Packet Core/System call flows and interworking. Nice to have working knowledge on routing protocols, such as BGP, OSPF, QoS, MPLS and MPLS VPN, etc. Must have exceptional documentation skills that can clearly articulate technical designs, issues and constraints, procedures, and network assessments Must have strong communication skills and a positive attitude Must have strong analytical and problem determination/resolution skills. Must have excellent problem-solving skills and thorough knowledge of network Must have self-motivated, Self-Reliant, Self-Starting, Go-Getter, Attitude of ownership, and A strong desire to learn Must have works well in an engineering environment that requires communication and collaboration with fellow team members, and cross function teams Education/Experience Requirements Education Requirements - bachelor's degree and above in technical field required. Working Experience - 10+ years wireless cellular mobile core network and Wi-Fi roaming design, implementation, and operation Other Requirements: Working Conditions/Physical Elements Must have flexibility of working extended hours, weekends, holidays to respond to customer needs and requirements. Normal office and lab environment. No heavy lifting or extreme physical labor is required. Travel requirements - 25% travel will be required depending on the phase of each project. Manager notes: Highly regulated industry Need to figure out compliance in other countries and passengers from other countries, spacial skills. Worked with Telecom provider Project: WIFI Loomi Project To have internet access on an airplane and we are going to partner with cell phone carrier to just charge through the carrier and then we provide the platform and service for WIFI on airplane. Why this project: We are still developing the solution and then the follow on would be implementation and operations. Great opportunity to see a huge project from start to finish and maintain. Long term and stable project.
Job Description: We are looking for a Senior LEA (Law Enforcement Assistance) (LEA) Engineer/Architect who will be an integral part our global satellite and ground communication network engineering team. The network and systems architected and designed by this team enables our in-flight communication growth at a large scale and is the IP foundation for our next generation satellite multimedia communication service. The SME in the comprehensive network communication compliance and LEA domain of each country, includes Wi-Fi roaming, 3GPP mobile core network, TWAG, Passpoint/HS2.0, EAP-SIM, EAP-AKA, EAP-TTLS, and so on wireless network knowledge domain. Excellent problem-solving skills and thorough knowledge of the network. Major responsibilities: Align with Principal architect/engineer vision and roadmap, independently create architecture, design, evaluate and test of Lawful Interception solution. Lead network communication compliance and LEA (law enforcement assistance) design efforts on technical solutions for complex projects, integrating multiple technologies and with broad, strategic impact across multiple business and technology areas. Provides technical analysis of each country's compliance and LEA requirements and create solution to meet the requirements. Create architecture research plan and report. Create design document. Create configuration standard document. Create test plan, and test with various law enforcement agencies around the world. Participation in business continuation activities Configuration and troubleshoot training to operation teams. Leverage experience to provide mentoring to other members of technical team where necessary. Provide tier-4 support to operation team. Coordinate with legal to ensure compliance with CALEA(Commission on Accreditation for Law Enforcement Agencies) and other regulations by jurisdiction. Knowledge/skill requirements: Must have deep knowledge and hands-on experience on TCP/IP, all layers of OSI model Must have deep knowledge of mobile technologies: 3GPP, LTE, 5G, MME, HSS, S and P Gateways. Must have deep knowledge and experience of one or two Global Lawful Interception vendors, such as Utimaco, SS8 Networks, AQSACOM, BAE Systems DataBridge, Sandvine Digital Witness, etc. Must to have knowledge and experience both Cisco Lawful Interception solution and Juniper DTCP Lawful Interception solution. Must have knowledge of global major Internet and Telecommunication of privacy, security and lawful interception requirements, such as ETSI, ANSI, GDPR, the Open Internet Access Regulations, etc. Must have strong Unix/Linux system administrator or engineering experience Nice to have experience with virtualized implementation (SDN/NFV) of Network/Telco nodes under NFV, OpenStack, etc. Nice to have working knowledge on routing protocols, such as BGP, OSPF, QoS, MPLS and MPLS VPN, etc. Must have exceptional documentation skills that can clearly articulate technical designs, issues and constraints, procedures, and network assessments. Must have strong communication skills and a positive attitude. Must have strong analytical and problem determination/resolution skills. Must have excellent problem-solving skills and thorough knowledge of network. Must have self-motivated, Self-Reliant, Self-Starting, Go-Getter, Attitude of ownership, and A strong desire to learn. Must have works well in an engineering environment that requires communication and collaboration with fellow team members, and cross function teams. Education/Experience Requirements : Education Requirements - bachelor's degree and above in technical field required. Working Experience - 10+ years Compliance and LEA in Mobile operator, Internet, telecom, or satellite communication industries. Other Requirements: US citizen, nice to have some previous level of security clearance. Working Conditions/Physical Elements Must have flexibility of working extended hours, weekends, holidays to respond to customer needs and requirements. Normal office and lab environment. No heavy lifting or extreme physical labor is required. Travel requirements - 25% travel may be required depending on the phase of each project. Manager notes: Highly regulated industry Need to figure out compliance in other countries and passengers from other countries, spacial skills. Worked with Telecom provider Project: WIFI Loomi Project To have internet access on an airplane and we are going to partner with cell phone carrier to just charge through the carrier and then we provide the platform and service for WIFI on airplane. Why this project: We are still developing the solution and then the follow-on would-be implementation and operations. Great opportunity to see a huge project from start to finish and maintain. Long term and stable project.
03/28/2024
Full time
Job Description: We are looking for a Senior LEA (Law Enforcement Assistance) (LEA) Engineer/Architect who will be an integral part our global satellite and ground communication network engineering team. The network and systems architected and designed by this team enables our in-flight communication growth at a large scale and is the IP foundation for our next generation satellite multimedia communication service. The SME in the comprehensive network communication compliance and LEA domain of each country, includes Wi-Fi roaming, 3GPP mobile core network, TWAG, Passpoint/HS2.0, EAP-SIM, EAP-AKA, EAP-TTLS, and so on wireless network knowledge domain. Excellent problem-solving skills and thorough knowledge of the network. Major responsibilities: Align with Principal architect/engineer vision and roadmap, independently create architecture, design, evaluate and test of Lawful Interception solution. Lead network communication compliance and LEA (law enforcement assistance) design efforts on technical solutions for complex projects, integrating multiple technologies and with broad, strategic impact across multiple business and technology areas. Provides technical analysis of each country's compliance and LEA requirements and create solution to meet the requirements. Create architecture research plan and report. Create design document. Create configuration standard document. Create test plan, and test with various law enforcement agencies around the world. Participation in business continuation activities Configuration and troubleshoot training to operation teams. Leverage experience to provide mentoring to other members of technical team where necessary. Provide tier-4 support to operation team. Coordinate with legal to ensure compliance with CALEA(Commission on Accreditation for Law Enforcement Agencies) and other regulations by jurisdiction. Knowledge/skill requirements: Must have deep knowledge and hands-on experience on TCP/IP, all layers of OSI model Must have deep knowledge of mobile technologies: 3GPP, LTE, 5G, MME, HSS, S and P Gateways. Must have deep knowledge and experience of one or two Global Lawful Interception vendors, such as Utimaco, SS8 Networks, AQSACOM, BAE Systems DataBridge, Sandvine Digital Witness, etc. Must to have knowledge and experience both Cisco Lawful Interception solution and Juniper DTCP Lawful Interception solution. Must have knowledge of global major Internet and Telecommunication of privacy, security and lawful interception requirements, such as ETSI, ANSI, GDPR, the Open Internet Access Regulations, etc. Must have strong Unix/Linux system administrator or engineering experience Nice to have experience with virtualized implementation (SDN/NFV) of Network/Telco nodes under NFV, OpenStack, etc. Nice to have working knowledge on routing protocols, such as BGP, OSPF, QoS, MPLS and MPLS VPN, etc. Must have exceptional documentation skills that can clearly articulate technical designs, issues and constraints, procedures, and network assessments. Must have strong communication skills and a positive attitude. Must have strong analytical and problem determination/resolution skills. Must have excellent problem-solving skills and thorough knowledge of network. Must have self-motivated, Self-Reliant, Self-Starting, Go-Getter, Attitude of ownership, and A strong desire to learn. Must have works well in an engineering environment that requires communication and collaboration with fellow team members, and cross function teams. Education/Experience Requirements : Education Requirements - bachelor's degree and above in technical field required. Working Experience - 10+ years Compliance and LEA in Mobile operator, Internet, telecom, or satellite communication industries. Other Requirements: US citizen, nice to have some previous level of security clearance. Working Conditions/Physical Elements Must have flexibility of working extended hours, weekends, holidays to respond to customer needs and requirements. Normal office and lab environment. No heavy lifting or extreme physical labor is required. Travel requirements - 25% travel may be required depending on the phase of each project. Manager notes: Highly regulated industry Need to figure out compliance in other countries and passengers from other countries, spacial skills. Worked with Telecom provider Project: WIFI Loomi Project To have internet access on an airplane and we are going to partner with cell phone carrier to just charge through the carrier and then we provide the platform and service for WIFI on airplane. Why this project: We are still developing the solution and then the follow-on would-be implementation and operations. Great opportunity to see a huge project from start to finish and maintain. Long term and stable project.
NOT A C2C OPPORTUNITY We are looking for a Senior AAA Design Engineer Architect who will be an integral part our global communication network engineering team. The network and systems architected and designed by this team enables our in-flight communication growth at a large scale and is the IP foundation for our next generation satellite multimedia communication service. The SME in the comprehensive Mobile Network Wi-Fi roaming domain, includes AAA, Diameter, Passpoint/HS2.0, EAP-SIM, EAP-AKA, EAP-TTLS, and so on. Excellent problem-solving skills and thorough knowledge of the network. Major responsibilities: Align with Principal architect/engineer vision and roadmap, independently create architecture, design, evaluate and test of Mobile Network Wi-Fi Roaming, AAA, Billing, and revenue assurance. Lead wireless network Wi-Fi roaming design efforts on technical solutions for complex projects, integrating multiple technologies and with broad, strategic impact across multiple business and technology areas. Provides analysis of network performance, network reliability and identify opportunity for improvement. Drive out inefficiencies, proposes and designs ground network system to drive cost savings in airline customer facing network systems. Create network unit and integration test plan Test wireless network devices and solutions, include new architecture proof of concept test, change procedure test, upgrade regression test Create architecture research plan and report Create design document Create configuration standard document Create test plan & report document Participation in business continuation activities Configuration and troubleshoot training to operation teams Leverage experience to provide mentoring to other members of technical team where necessary. Provide tier-4 support to operation team Knowledge/skill requirements: Must have strong knowledge and experience on Mobile Network Wifi roaming, Passpoint, EAP-SIM, EAP-AKA, 3GPP standard, TCP/IP, QOS, and all layers of OSI model. Must have extensive experience and knowledge of Authentication, Authorization, and Accounting (AAA) protocols, both RADIUS and Diameter Must have strong knowledge or experience on PCRF, PCEF, Quota manager, Mediation, Billing platform, etc. Must have deep knowledge and experience in using 3GPP interfaces, such as S5, S6a/S6d, Gr, S9, Gx, Rx, SGi, etc. Must have extensive knowledge of 802.11 wireless standards, technologies, methodologies, and security practices. Must have strong Unix/Linux system administrator or engineering experience Must have experience with Tomia or Digital Route, Salesforce, B/OSS systems Nice to have knowledge and working experience with access control, DPI, policy control, Netflow, IPFIX, IPDR, content filter, traffic shaping and policy enforcement solutions. Nice to have experience with WLAN and WAP. Nice to have experience with Utimaco or similar lawful interception platform experience. Nice to have experience with virtualized implementation (SDN/NFV) of Network/Telco nodes under NFV, OpenStack, etc. Nice to have knowledge of Evolved Packet Core/System call flows and interworking. Nice to have working knowledge on routing protocols, such as BGP, OSPF, QoS, MPLS and MPLS VPN, etc. Must have exceptional documentation skills that can clearly articulate technical designs, issues and constraints, procedures, and network assessments Must have strong communication skills and a positive attitude Must have strong analytical and problem determination/resolution skills. Must have excellent problem-solving skills and thorough knowledge of network Must have self-motivated, Self-Reliant, Self-Starting, Go-Getter, Attitude of ownership, and A strong desire to learn Must have works well in an engineering environment that requires communication and collaboration with fellow team members, and cross function teams Education/experience requirements: Education Requirements - bachelor's degree and above in technical field required. Working Experience - 10+ years mobile network and telecom business AAA, and support system (BSS) Other Requirements Working Conditions/Physical Elements Must have flexibility of working extended hours, weekends, holidays to respond to customer needs and requirements. Normal office and lab environment. No heavy lifting or extreme physical labor is required. Travel requirements - 25% travel will be required depending on the phase of each project. Manager notes: Highly regulated industry Need to figure out compliance in other countries and passengers from other countries, spacial skills. Worked with Telecom provider Project: WIFI Loomi Project To have internet access on an airplane and we are going to partner with cell phone carrier to just charge through the carrier and then we provide the platform and service for WIFI on airplane. Why this project: We are still developing the solution and then the follow-on would-be implementation and operations. Great opportunity to see a huge project from start to finish and maintain. Long term and stable project.
03/28/2024
Full time
NOT A C2C OPPORTUNITY We are looking for a Senior AAA Design Engineer Architect who will be an integral part our global communication network engineering team. The network and systems architected and designed by this team enables our in-flight communication growth at a large scale and is the IP foundation for our next generation satellite multimedia communication service. The SME in the comprehensive Mobile Network Wi-Fi roaming domain, includes AAA, Diameter, Passpoint/HS2.0, EAP-SIM, EAP-AKA, EAP-TTLS, and so on. Excellent problem-solving skills and thorough knowledge of the network. Major responsibilities: Align with Principal architect/engineer vision and roadmap, independently create architecture, design, evaluate and test of Mobile Network Wi-Fi Roaming, AAA, Billing, and revenue assurance. Lead wireless network Wi-Fi roaming design efforts on technical solutions for complex projects, integrating multiple technologies and with broad, strategic impact across multiple business and technology areas. Provides analysis of network performance, network reliability and identify opportunity for improvement. Drive out inefficiencies, proposes and designs ground network system to drive cost savings in airline customer facing network systems. Create network unit and integration test plan Test wireless network devices and solutions, include new architecture proof of concept test, change procedure test, upgrade regression test Create architecture research plan and report Create design document Create configuration standard document Create test plan & report document Participation in business continuation activities Configuration and troubleshoot training to operation teams Leverage experience to provide mentoring to other members of technical team where necessary. Provide tier-4 support to operation team Knowledge/skill requirements: Must have strong knowledge and experience on Mobile Network Wifi roaming, Passpoint, EAP-SIM, EAP-AKA, 3GPP standard, TCP/IP, QOS, and all layers of OSI model. Must have extensive experience and knowledge of Authentication, Authorization, and Accounting (AAA) protocols, both RADIUS and Diameter Must have strong knowledge or experience on PCRF, PCEF, Quota manager, Mediation, Billing platform, etc. Must have deep knowledge and experience in using 3GPP interfaces, such as S5, S6a/S6d, Gr, S9, Gx, Rx, SGi, etc. Must have extensive knowledge of 802.11 wireless standards, technologies, methodologies, and security practices. Must have strong Unix/Linux system administrator or engineering experience Must have experience with Tomia or Digital Route, Salesforce, B/OSS systems Nice to have knowledge and working experience with access control, DPI, policy control, Netflow, IPFIX, IPDR, content filter, traffic shaping and policy enforcement solutions. Nice to have experience with WLAN and WAP. Nice to have experience with Utimaco or similar lawful interception platform experience. Nice to have experience with virtualized implementation (SDN/NFV) of Network/Telco nodes under NFV, OpenStack, etc. Nice to have knowledge of Evolved Packet Core/System call flows and interworking. Nice to have working knowledge on routing protocols, such as BGP, OSPF, QoS, MPLS and MPLS VPN, etc. Must have exceptional documentation skills that can clearly articulate technical designs, issues and constraints, procedures, and network assessments Must have strong communication skills and a positive attitude Must have strong analytical and problem determination/resolution skills. Must have excellent problem-solving skills and thorough knowledge of network Must have self-motivated, Self-Reliant, Self-Starting, Go-Getter, Attitude of ownership, and A strong desire to learn Must have works well in an engineering environment that requires communication and collaboration with fellow team members, and cross function teams Education/experience requirements: Education Requirements - bachelor's degree and above in technical field required. Working Experience - 10+ years mobile network and telecom business AAA, and support system (BSS) Other Requirements Working Conditions/Physical Elements Must have flexibility of working extended hours, weekends, holidays to respond to customer needs and requirements. Normal office and lab environment. No heavy lifting or extreme physical labor is required. Travel requirements - 25% travel will be required depending on the phase of each project. Manager notes: Highly regulated industry Need to figure out compliance in other countries and passengers from other countries, spacial skills. Worked with Telecom provider Project: WIFI Loomi Project To have internet access on an airplane and we are going to partner with cell phone carrier to just charge through the carrier and then we provide the platform and service for WIFI on airplane. Why this project: We are still developing the solution and then the follow-on would-be implementation and operations. Great opportunity to see a huge project from start to finish and maintain. Long term and stable project.
Position Details: Job Title: Full Stack Developer Location: New York 10001 United States Job Title: Full Stack Java Developer Job Summary: Highly motivated web/core full stack java developer with 10+ years of industry experience, who is strong in one or more areas of the Java stack. Financial experience is preferred but not must. In addition to Java skills we also require database skills such as writing various SQLs and stored procedures for well-known databases. Good design and analytical skills will be a big plus. Based on the needs and your interests you get to work on web side or backend/core java or both areas. Experience in Order Management Key Qualifications: 8+ years of experience as Developer in J2EE technologies and framework such as: Spring, JDBC, JMS, SOAP/REST API, etc. for integration. Solid experience in Logging, Caching, Transaction Management, Multi-Threading/Concurrency, Performance Tuning, and Monitoring aspects of the applications. A full stack Software Developer (Java/Spring MVC/Angular/Node.JS/Relational DB), responsible for developing and delivering complex requirements to accomplish business goals Key responsibilities of the role include ensuring that software is developed to meet functional, non-functional, and compliance requirements Collaborate with other developers on the team for code and design reviews to build High-quality reusable code. This role develops solutions, unit tests, and ensures the artifacts can be integrated successfully into the overall application/system with clear, robust, and well-tested interfaces Understand and convert macro level requirements into actionable tasks Toubleshooting and Performance tuning of the application for SLA enhancements. Document high level and component level design, ensure quality standards in terms of usability and security of all the application components. Partner well with the Scrum Master, Project Manager, and other agile team members. Active contribution to application lifecycle including maintenance, release management, critical bug fixing and ensure error free delivery of the software solution. Troubleshoot problems in Production and lower environments Participate in Scrum meetings and work with the Scrum Master, Project Manager, and other agile team members. Good understanding of Message Oriented Middleware (MOMs)/JMS/MQ. Be comfortable with both front-end and back-end coding languages, development frameworks and popular third-party libraries Understand the continuous integration and continuous deployment lifecycle Contribute to future design and architectural decisions Education: BS or MS in Computer Science. 10+ years professional software engineering experience preferred. Desired Skills Experience implementing modern micro-services architectures. Experience with cloud technologies would be plus. Knowledge in Continuous Integration/Deployment and Container automation Experience with Angular, React, or related client-side JavaScript frameworks Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
03/28/2024
Full time
Position Details: Job Title: Full Stack Developer Location: New York 10001 United States Job Title: Full Stack Java Developer Job Summary: Highly motivated web/core full stack java developer with 10+ years of industry experience, who is strong in one or more areas of the Java stack. Financial experience is preferred but not must. In addition to Java skills we also require database skills such as writing various SQLs and stored procedures for well-known databases. Good design and analytical skills will be a big plus. Based on the needs and your interests you get to work on web side or backend/core java or both areas. Experience in Order Management Key Qualifications: 8+ years of experience as Developer in J2EE technologies and framework such as: Spring, JDBC, JMS, SOAP/REST API, etc. for integration. Solid experience in Logging, Caching, Transaction Management, Multi-Threading/Concurrency, Performance Tuning, and Monitoring aspects of the applications. A full stack Software Developer (Java/Spring MVC/Angular/Node.JS/Relational DB), responsible for developing and delivering complex requirements to accomplish business goals Key responsibilities of the role include ensuring that software is developed to meet functional, non-functional, and compliance requirements Collaborate with other developers on the team for code and design reviews to build High-quality reusable code. This role develops solutions, unit tests, and ensures the artifacts can be integrated successfully into the overall application/system with clear, robust, and well-tested interfaces Understand and convert macro level requirements into actionable tasks Toubleshooting and Performance tuning of the application for SLA enhancements. Document high level and component level design, ensure quality standards in terms of usability and security of all the application components. Partner well with the Scrum Master, Project Manager, and other agile team members. Active contribution to application lifecycle including maintenance, release management, critical bug fixing and ensure error free delivery of the software solution. Troubleshoot problems in Production and lower environments Participate in Scrum meetings and work with the Scrum Master, Project Manager, and other agile team members. Good understanding of Message Oriented Middleware (MOMs)/JMS/MQ. Be comfortable with both front-end and back-end coding languages, development frameworks and popular third-party libraries Understand the continuous integration and continuous deployment lifecycle Contribute to future design and architectural decisions Education: BS or MS in Computer Science. 10+ years professional software engineering experience preferred. Desired Skills Experience implementing modern micro-services architectures. Experience with cloud technologies would be plus. Knowledge in Continuous Integration/Deployment and Container automation Experience with Angular, React, or related client-side JavaScript frameworks Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
03/28/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
Job Description We are looking for an Enthusiastic Full Stack Java Developer for a service and product company who can help the company build up their business and take company to new heights. Required Experience, Skills and Qualifications Graduates with BS/MS computer science degrees from leading universities Fundamentals in software engineering Aspirations to learn to code Knowledge of Object-Oriented Programming and/or languages (Java, C/C++) Team player, self-starter and passion for programming Good verbal and written communication skills Troubleshooting skills, ability to predict potential user and software issues Organization skills and attention to detail Ready to be employed anywhere in the US Database concepts, Core JAVA, Design Patterns, JEE Intro, Web Servers, Servlets, JSP Tools Spring, Hibernate, App Servers, EJB, JMS, Web Services, REST, Front end development Angular JS, UI HTML, CSS, Java Script, jQuery, AJAX Exclusive seminars by Industry SMEs on AWS/Micro services/SDLC/Architecture Workshops on Agile/Scrum AWS, micro services, ESB, Angular 10.0 OCJP certification, Capstone project Responsibilities Design, implement and maintain java application phases To take part in software and architectural development activities Conduct software analysis, programming, testing and debugging Identifying production and non-production application issues Develop, test, implement and maintain application software Recommend changes to improve established java application processes Develop technical designs for application development Develop application code for java programs Benefits Oracle Gold Partner specializing in Java development Interviews preparation Assistance in resume and profile building Industry leading compensation, performance bonus and profit sharing
03/28/2024
Full time
Job Description We are looking for an Enthusiastic Full Stack Java Developer for a service and product company who can help the company build up their business and take company to new heights. Required Experience, Skills and Qualifications Graduates with BS/MS computer science degrees from leading universities Fundamentals in software engineering Aspirations to learn to code Knowledge of Object-Oriented Programming and/or languages (Java, C/C++) Team player, self-starter and passion for programming Good verbal and written communication skills Troubleshooting skills, ability to predict potential user and software issues Organization skills and attention to detail Ready to be employed anywhere in the US Database concepts, Core JAVA, Design Patterns, JEE Intro, Web Servers, Servlets, JSP Tools Spring, Hibernate, App Servers, EJB, JMS, Web Services, REST, Front end development Angular JS, UI HTML, CSS, Java Script, jQuery, AJAX Exclusive seminars by Industry SMEs on AWS/Micro services/SDLC/Architecture Workshops on Agile/Scrum AWS, micro services, ESB, Angular 10.0 OCJP certification, Capstone project Responsibilities Design, implement and maintain java application phases To take part in software and architectural development activities Conduct software analysis, programming, testing and debugging Identifying production and non-production application issues Develop, test, implement and maintain application software Recommend changes to improve established java application processes Develop technical designs for application development Develop application code for java programs Benefits Oracle Gold Partner specializing in Java development Interviews preparation Assistance in resume and profile building Industry leading compensation, performance bonus and profit sharing
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
03/28/2024
Full time
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
03/28/2024
Full time
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
Dexian - Signature Consultants
Charlotte, North Carolina
Job Summary: Dexian is seeking a Full Stack .NET Developer (Version 4.7) with AngularJS 1 Experience for an opportunity with a client located in Charlotte, NC. Responsibilities: Maintain and enhance existing .NET applications utilizing Version 4.7 framework Maintain and support AngularJS 1 applications within the eTrading desk environment, focusing on front office automation Collaborate with the business unit to understand requirements and implement necessary changes to automate front office processes Ensure the stability, reliability, and performance of low latency applications used in front office automation Troubleshoot and debug issues related to front office automation, providing timely resolutions Perform code reviews and adhere to coding standards to maintain high-quality codebase Work closely with cross-functional teams including developers, testers, and business analysts to streamline front office processes Stay updated with industry trends and best practices in front office automation within capital markets Requirements: Bachelor's degree in Computer Science, Engineering, or related field Proven experience as a Full Stack .NET Developer with Version 4.7 Proficiency in AngularJS 1 for front-end development Extensive experience in eTrading desk environments within capital markets, preferably focusing on front office automation Strong understanding of low latency application development Ability to effectively communicate and collaborate with stakeholders Experience working in a pure maintenance role, with the ability to add functions only as required by front office automation needs Excellent problem-solving skills and attention to detail Experience working in the financial industry, is preferred Must be located in or willing to relocate to Charlotte, NC for the duration of the contract Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
03/28/2024
Full time
Job Summary: Dexian is seeking a Full Stack .NET Developer (Version 4.7) with AngularJS 1 Experience for an opportunity with a client located in Charlotte, NC. Responsibilities: Maintain and enhance existing .NET applications utilizing Version 4.7 framework Maintain and support AngularJS 1 applications within the eTrading desk environment, focusing on front office automation Collaborate with the business unit to understand requirements and implement necessary changes to automate front office processes Ensure the stability, reliability, and performance of low latency applications used in front office automation Troubleshoot and debug issues related to front office automation, providing timely resolutions Perform code reviews and adhere to coding standards to maintain high-quality codebase Work closely with cross-functional teams including developers, testers, and business analysts to streamline front office processes Stay updated with industry trends and best practices in front office automation within capital markets Requirements: Bachelor's degree in Computer Science, Engineering, or related field Proven experience as a Full Stack .NET Developer with Version 4.7 Proficiency in AngularJS 1 for front-end development Extensive experience in eTrading desk environments within capital markets, preferably focusing on front office automation Strong understanding of low latency application development Ability to effectively communicate and collaborate with stakeholders Experience working in a pure maintenance role, with the ability to add functions only as required by front office automation needs Excellent problem-solving skills and attention to detail Experience working in the financial industry, is preferred Must be located in or willing to relocate to Charlotte, NC for the duration of the contract Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
Job Description The position A Place for Mom is seeking a motivated and energetic Director of Site Reliability Engineering/DevOps with a strong sense of ownership and technical ability. A Place for Mom has a 100% "cloud" based infrastructure and is seeking a tech leader with strong experience in Infrastructure as Code, automation, CI/CD, Containers, AWS, and DevOps best practices to lead our DevOps/Site Reliability Engineering team! Excellent communication skills are desired, as the TechOps team has developed a strong and close working relationship with both development owners and product owners to define clear expectations of objectives and fast, robust, and future proof results. The ideal candidate has a very strong sense of ownership and passion for learning. This position will report directly to the Vice President of Technology - Operations & CyberSecurity, who will rely on the Director - DevOps & SRE to build, lead, manage and consistently track and report on the DevOps/SRE progress for key stakeholders. This role will require travel into our NYC office around one per month. Job responsibilities This DevOps/SRE Engineering leader will be responsible for managing the cloud infrastructure and the underlying ecosystem of services and all associated components Including owning and driving the Major Incident Management process Mentor and guide the professional and technical development of engineers on your team and build a culture of accountability while setting the strategic direction Work collaboratively with development teams within and across Agile development processes to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies Lead the availability, resilience, and scalability of your solutions Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Drive the automation of deployment, configuration management, and monitoring processes to improve efficiency and reduce manual intervention Review and streamline the APFM DevOps process, tools and platforms Evaluate and select third-party tools and services that align with the organization's needs and goals Develop and maintain disaster recovery plans to ensure business continuity in the event of outages or disasters Experience with Site Reliability Engineering principles, including setting and managing Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgeting Partnering with the Security Team to ensure that HIPAA, NIST and CIS controls are implemented and maintained within all environments Experience managing a geographically dispersed team Perform additional tasks as assigned.
03/28/2024
Full time
Job Description The position A Place for Mom is seeking a motivated and energetic Director of Site Reliability Engineering/DevOps with a strong sense of ownership and technical ability. A Place for Mom has a 100% "cloud" based infrastructure and is seeking a tech leader with strong experience in Infrastructure as Code, automation, CI/CD, Containers, AWS, and DevOps best practices to lead our DevOps/Site Reliability Engineering team! Excellent communication skills are desired, as the TechOps team has developed a strong and close working relationship with both development owners and product owners to define clear expectations of objectives and fast, robust, and future proof results. The ideal candidate has a very strong sense of ownership and passion for learning. This position will report directly to the Vice President of Technology - Operations & CyberSecurity, who will rely on the Director - DevOps & SRE to build, lead, manage and consistently track and report on the DevOps/SRE progress for key stakeholders. This role will require travel into our NYC office around one per month. Job responsibilities This DevOps/SRE Engineering leader will be responsible for managing the cloud infrastructure and the underlying ecosystem of services and all associated components Including owning and driving the Major Incident Management process Mentor and guide the professional and technical development of engineers on your team and build a culture of accountability while setting the strategic direction Work collaboratively with development teams within and across Agile development processes to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies Lead the availability, resilience, and scalability of your solutions Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Drive the automation of deployment, configuration management, and monitoring processes to improve efficiency and reduce manual intervention Review and streamline the APFM DevOps process, tools and platforms Evaluate and select third-party tools and services that align with the organization's needs and goals Develop and maintain disaster recovery plans to ensure business continuity in the event of outages or disasters Experience with Site Reliability Engineering principles, including setting and managing Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgeting Partnering with the Security Team to ensure that HIPAA, NIST and CIS controls are implemented and maintained within all environments Experience managing a geographically dispersed team Perform additional tasks as assigned.