Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
07/08/2026
Full time
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
At Daniel Defense, Only the Best Build the Best Daniel Defense engineers and manufactures the world's finest weapon systems and accessories. Our mission to honor God and defend Freedom is accomplished by serving customers and providing top quality solutions to our military, law enforcement and civilians that are seeking premium firearms for home defense, hunting, and sport shooting. As the Customer Success Team Manager, you will be responsible for the functions outlined below: Essential Functions: Responsible for demonstrating commitment to and leadership of environmental health and safety principles, policies and procedures. Build, develop, and coach a high-performing Customer Success team responsible for a portfolio of commercial clients. Participate in the development and implementation of customer success metrics that will drive business decisions. Represent the voice of the customer in all Daniel Defense business practices Engage with and guide other departments in implementing strategies that bring value to our customers. Lead the customer success, customer service, and warranty teams. Establish a strong team culture focused on continuous learning, collaboration, and excellence. Conduct regular performance reviews and provide constructive feedback to team members. Partner with assigned customers to understand their unique needs and business goals. Develop and implement customer success plans that drive adoption, usage, and value realization. Proactively identify and address customer challenges and roadblocks. Measure and track key customer success metrics, including Net Promoter Score (NPS) and churn rate. Analyze customer data and feedback to identify opportunities for improvement in the customer journey. Develop and implement customer success best practices, processes, and methodologies. Collaborate with cross-functional teams (Sales, Product, Marketing) to ensure a seamless customer experience. Participate in the development and execution of the overall customer success strategy. Maintain clear and consistent communication with customers, internal stakeholders, and executive leadership. Present customer success insights and recommendations to various audiences. Foster a collaborative environment with other departments to ensure customer success. Expected to be a contributor to the company standards on high integrity, safety, fair and equitable treatment and a positive work environment Provides adequate support, training and development to team members to continuously improve Safety, 6S, Quality, Delivery and Productivity. Other responsibilities as deemed appropriate or necessary by management. Knowledge, Skills, and Abilities: Bachelor's Degree in Business or related field with 4-7 years of prior experience in a Customer Success leadership role, or a combination of related experience, education and/or training to sufficiently and successfully perform the essential functions of the job. Proven track record of building and leading high-performing teams. Deep understanding of customer success principles and methodologies. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work collaboratively in a fast-paced environment. Experience working with commercial sales accounts a plus. Demonstrated ability to work in accordance with our Company Values. Physical Requirements: Must be able to lift and carry awkward items weighing up to 50 pounds. Requires intermittent standing, walking, sitting and bending throughout the workday. Must be able to work in a manufacturing environment, to include working in and around machinery, exposure to noise and chemicals, lights/lasers, etc. Must be able to wear appropriate Personal Protection Equipment as required by your position and/or Company policy. Daniel Defense is an EOE AA M/F/Vet/Disability employer and promotes a "Drug-Free Workplace." Note: The statements above are intended to describe the general nature and level of work being performed by those assigned to the job. This list is not intended to be an exhaustive list of responsibilities, duties, and skills required of personnel in this job. Responsibilities are subject to change at the discretion of the employer and do not establish a contract of employment - Daniel Defense is an at-will employer. PI9d178ec42cc5-8554
07/08/2026
Full time
At Daniel Defense, Only the Best Build the Best Daniel Defense engineers and manufactures the world's finest weapon systems and accessories. Our mission to honor God and defend Freedom is accomplished by serving customers and providing top quality solutions to our military, law enforcement and civilians that are seeking premium firearms for home defense, hunting, and sport shooting. As the Customer Success Team Manager, you will be responsible for the functions outlined below: Essential Functions: Responsible for demonstrating commitment to and leadership of environmental health and safety principles, policies and procedures. Build, develop, and coach a high-performing Customer Success team responsible for a portfolio of commercial clients. Participate in the development and implementation of customer success metrics that will drive business decisions. Represent the voice of the customer in all Daniel Defense business practices Engage with and guide other departments in implementing strategies that bring value to our customers. Lead the customer success, customer service, and warranty teams. Establish a strong team culture focused on continuous learning, collaboration, and excellence. Conduct regular performance reviews and provide constructive feedback to team members. Partner with assigned customers to understand their unique needs and business goals. Develop and implement customer success plans that drive adoption, usage, and value realization. Proactively identify and address customer challenges and roadblocks. Measure and track key customer success metrics, including Net Promoter Score (NPS) and churn rate. Analyze customer data and feedback to identify opportunities for improvement in the customer journey. Develop and implement customer success best practices, processes, and methodologies. Collaborate with cross-functional teams (Sales, Product, Marketing) to ensure a seamless customer experience. Participate in the development and execution of the overall customer success strategy. Maintain clear and consistent communication with customers, internal stakeholders, and executive leadership. Present customer success insights and recommendations to various audiences. Foster a collaborative environment with other departments to ensure customer success. Expected to be a contributor to the company standards on high integrity, safety, fair and equitable treatment and a positive work environment Provides adequate support, training and development to team members to continuously improve Safety, 6S, Quality, Delivery and Productivity. Other responsibilities as deemed appropriate or necessary by management. Knowledge, Skills, and Abilities: Bachelor's Degree in Business or related field with 4-7 years of prior experience in a Customer Success leadership role, or a combination of related experience, education and/or training to sufficiently and successfully perform the essential functions of the job. Proven track record of building and leading high-performing teams. Deep understanding of customer success principles and methodologies. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work collaboratively in a fast-paced environment. Experience working with commercial sales accounts a plus. Demonstrated ability to work in accordance with our Company Values. Physical Requirements: Must be able to lift and carry awkward items weighing up to 50 pounds. Requires intermittent standing, walking, sitting and bending throughout the workday. Must be able to work in a manufacturing environment, to include working in and around machinery, exposure to noise and chemicals, lights/lasers, etc. Must be able to wear appropriate Personal Protection Equipment as required by your position and/or Company policy. Daniel Defense is an EOE AA M/F/Vet/Disability employer and promotes a "Drug-Free Workplace." Note: The statements above are intended to describe the general nature and level of work being performed by those assigned to the job. This list is not intended to be an exhaustive list of responsibilities, duties, and skills required of personnel in this job. Responsibilities are subject to change at the discretion of the employer and do not establish a contract of employment - Daniel Defense is an at-will employer. PI9d178ec42cc5-8554
TITLE: Programmer Machinist BASED AT: Harken, Inc., Pewaukee, WI STATUS: Non-Exempt/Hourly, 1st Shift, Full-Time Join the Harken Team: Innovating for Over 50 Years Harken, Inc. is a global leader in innovative solutions for the marine and safety industries. Headquartered in Pewaukee, Wisconsin, with manufacturing facilities in the USA and Italy, we take pride in our world-class engineering, craftsmanship, and dedication to excellence. Our global footprint spans 48 countries, supported by group offices in exciting locations like Australia, France, Italy, New Zealand, the Netherlands, Poland, Sweden, the UK, and across the United States-from Rhode Island to Washington. For over half a century, Harken's Marine Division has set the industry standard for pulley blocks, deck hardware, winches, and hydraulics, serving sailboats ranging from 8 to over 300 feet. Building on this strong foundation, Harken is charting new courses with our Safety and Rescue Division, unlocking opportunities for innovation and growth. The Opportunity: Harken is seeking a Programmer Machinist to join our team. This role is responsible for programming, setting up, and operating CNC machining centers, with a primary focus on mills, to manufacture custom precision components. This role works from engineering drawings, CAD models, and customer specifications to develop efficient machining processes, produce high-quality parts, and meet production deadlines. The position requires close collaboration with engineering, quality, and production teams to troubleshoot machining challenges, improve manufacturing processes, and support custom, low-volume, and prototype production while maintaining a safe and organized work environment. What you will do: Program, set up, and operate CNC milling machines to manufacture custom and prototype components Develop, edit, and optimize CNC programs using CAM software and machine controls to maximize efficiency and part quality Interpret blueprints, CAD models, work instructions, and GD&T to determine machining requirements Select appropriate tooling, cutting parameters, and machining strategies for a variety of materials Perform machine setups, including fixture installation, tool offsets, and program verification Monitor machine performance and report any variations from specifications Recommend tooling arrangements, fixtures, and operation sequences to improve efficiency and quality Use a variety of precision measuring instruments to inspect and verify parts Support multiple projects simultaneously in a fast-paced, custom manufacturing environment while meeting production schedules and delivery commitments Maintain a clean, safe, and organized work environment Follow all company safety procedures and quality standards Other duties and projects as assigned What you bring: Minimum Qualifications: 5 years of CNC machining experience in a manufacturing environment CAM programming experience and setup skills High School diploma or GED equivalent Additional Preferred Qualifications: Excellent knowledge of machining practices, Mills experience preferred Experience with MasterCAM Experience programming 3-axis or 5-axis CNC mills Custom low run/R&D experience Experience using precision measuring instruments Experience reading and interpreting blueprints and technical drawings Key Skills for Success include: Ability to perform mathematical calculations using whole numbers, fractions, and decimals Strong attention to detail and commitment to producing high-quality work Effective time management and organizational skills to prioritize multiple jobs Strong troubleshooting and problem-solving skills related to machining processes and equipment Why you will love working at Harken: What truly sets Harken apart is our Employee Stock Ownership Plan (ESOP) and the unique culture of ownership it fosters. Every team member is empowered to think and act like an owner, driving a workplace culture built on drive, humility, ingenuity, integrity, and ownership. At Harken, you're not just an employee-you're a valued stakeholder in our future. At Harken, our work is guided by five core values: Drive - Taking initiative, setting ambitious goals, and pursuing excellence Humility - Welcoming feedback, learning from others, and prioritizing team success Ingenuity - Solving complex problems with practical, elegant solutions Integrity - Delivering honest work and upholding the highest standards Ownership - Taking pride in our products, our people, and our future Why join Harken : Employee-owned company (ESOP) Growing global organization Modern, clean, and organized manufacturing environment Opportunity to work with advanced CNC equipment and precision components Long service machinists who provide mentorship and support your growth Strong culture of craftsmanship, innovation, and continuous improvement Internal growth opportunities and ongoing skills development 401(k) that includes a company match Competitive medical, dental and vision insurance coverage Employee assistance program Flexible spending account and health savings account Life insurance Paid time off after 90-day probationary period Unpaid excused absences and 9 paid holidays off Employee referral program Tuition reimbursement On-site Gym Climate controlled work environment APPLICATION REQUIREMENTS: Submit your resume via email to: Harken is an equal opportunity employer. PIa1dba5-
07/07/2026
Full time
TITLE: Programmer Machinist BASED AT: Harken, Inc., Pewaukee, WI STATUS: Non-Exempt/Hourly, 1st Shift, Full-Time Join the Harken Team: Innovating for Over 50 Years Harken, Inc. is a global leader in innovative solutions for the marine and safety industries. Headquartered in Pewaukee, Wisconsin, with manufacturing facilities in the USA and Italy, we take pride in our world-class engineering, craftsmanship, and dedication to excellence. Our global footprint spans 48 countries, supported by group offices in exciting locations like Australia, France, Italy, New Zealand, the Netherlands, Poland, Sweden, the UK, and across the United States-from Rhode Island to Washington. For over half a century, Harken's Marine Division has set the industry standard for pulley blocks, deck hardware, winches, and hydraulics, serving sailboats ranging from 8 to over 300 feet. Building on this strong foundation, Harken is charting new courses with our Safety and Rescue Division, unlocking opportunities for innovation and growth. The Opportunity: Harken is seeking a Programmer Machinist to join our team. This role is responsible for programming, setting up, and operating CNC machining centers, with a primary focus on mills, to manufacture custom precision components. This role works from engineering drawings, CAD models, and customer specifications to develop efficient machining processes, produce high-quality parts, and meet production deadlines. The position requires close collaboration with engineering, quality, and production teams to troubleshoot machining challenges, improve manufacturing processes, and support custom, low-volume, and prototype production while maintaining a safe and organized work environment. What you will do: Program, set up, and operate CNC milling machines to manufacture custom and prototype components Develop, edit, and optimize CNC programs using CAM software and machine controls to maximize efficiency and part quality Interpret blueprints, CAD models, work instructions, and GD&T to determine machining requirements Select appropriate tooling, cutting parameters, and machining strategies for a variety of materials Perform machine setups, including fixture installation, tool offsets, and program verification Monitor machine performance and report any variations from specifications Recommend tooling arrangements, fixtures, and operation sequences to improve efficiency and quality Use a variety of precision measuring instruments to inspect and verify parts Support multiple projects simultaneously in a fast-paced, custom manufacturing environment while meeting production schedules and delivery commitments Maintain a clean, safe, and organized work environment Follow all company safety procedures and quality standards Other duties and projects as assigned What you bring: Minimum Qualifications: 5 years of CNC machining experience in a manufacturing environment CAM programming experience and setup skills High School diploma or GED equivalent Additional Preferred Qualifications: Excellent knowledge of machining practices, Mills experience preferred Experience with MasterCAM Experience programming 3-axis or 5-axis CNC mills Custom low run/R&D experience Experience using precision measuring instruments Experience reading and interpreting blueprints and technical drawings Key Skills for Success include: Ability to perform mathematical calculations using whole numbers, fractions, and decimals Strong attention to detail and commitment to producing high-quality work Effective time management and organizational skills to prioritize multiple jobs Strong troubleshooting and problem-solving skills related to machining processes and equipment Why you will love working at Harken: What truly sets Harken apart is our Employee Stock Ownership Plan (ESOP) and the unique culture of ownership it fosters. Every team member is empowered to think and act like an owner, driving a workplace culture built on drive, humility, ingenuity, integrity, and ownership. At Harken, you're not just an employee-you're a valued stakeholder in our future. At Harken, our work is guided by five core values: Drive - Taking initiative, setting ambitious goals, and pursuing excellence Humility - Welcoming feedback, learning from others, and prioritizing team success Ingenuity - Solving complex problems with practical, elegant solutions Integrity - Delivering honest work and upholding the highest standards Ownership - Taking pride in our products, our people, and our future Why join Harken : Employee-owned company (ESOP) Growing global organization Modern, clean, and organized manufacturing environment Opportunity to work with advanced CNC equipment and precision components Long service machinists who provide mentorship and support your growth Strong culture of craftsmanship, innovation, and continuous improvement Internal growth opportunities and ongoing skills development 401(k) that includes a company match Competitive medical, dental and vision insurance coverage Employee assistance program Flexible spending account and health savings account Life insurance Paid time off after 90-day probationary period Unpaid excused absences and 9 paid holidays off Employee referral program Tuition reimbursement On-site Gym Climate controlled work environment APPLICATION REQUIREMENTS: Submit your resume via email to: Harken is an equal opportunity employer. PIa1dba5-
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Scientist, Electrical Engineer (Digital Hardware Design) Job Code: 38126 Job Location: Salt Lake City, Utah Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off L3Harris is seeking a motivated Senior Hardware Engineer to design and deliver advanced, mission-critical digital circuit technology for military communications systems, including software-defined radio applications. In this role, you will serve as a senior technical contributor, helping develop innovative digital hardware solutions for special operations and intelligence customers. You will work on complex national security challenges across areas such as threat deterrence, signals intelligence, cyber operations, machine learning, image processing, and data analytics. This position is part of a multidisciplinary team that values collaboration, innovation, and technical excellence. Essential Functions Provide hands-on technical expertise for digital hardware in communications systems programs. Support the development of innovative electrical engineering solutions aligned with business objectives. Develop circuit designs, requirements, design documentation, verification plans, procedures, and customer deliverables to meet program schedules. Lead and support cross-functional teams in system architecture, design, root cause analysis, and issue resolution. Design custom circuit card assemblies using FPGAs, embedded processors, networking components, and other electronics for challenging environmental conditions. Apply knowledge of industry-standard interfaces such as 10GE, 40GE, 100GE, 10/100/1000BASE-T, SPI, UART, SDRAM, DDR3, DDR4, JESD, and PCIe. Perform schematic capture, simulation, analysis, PCB layout, and hardware testing. Contribute to algorithm development, implementation, system architecture, verification, and testing, with emphasis on military requirements. Support proposal efforts through technical baseline reviews and engineering input. Collaborate regularly with program leadership and cross-functional teams including software, systems, mechanical, and test engineering. Participate in customer and program technical reviews and provide status updates on assigned work. Travel up to 5% as required. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or Electrical Engineering with 12 years of relevant experience; Graduate degree with 10 years of related experience. In lieu of a degree, 16 years of related experience. Active DoD Secret Security Clearance. Preferred Additional Skills Strong foundation in communications theory and electronic warfare. Ability to work independently or lead multidisciplinary teams in the development of communications systems and assemblies. Minimum of 8 years of circuit card assembly (CCA) and hardware design experience. Proficiency with Xilinx, Altera, or similar FPGA tools, and Siemens EDA (Mentor Graphics). Experience with high-speed communications and I/O design, including networking and isolation requirements. Hands-on experience with lab equipment such as oscilloscopes, logic analyzers, spectrum analyzers, receivers, signal generators, BERTs, TDR, and similar test equipment. Knowledge of industry trends and emerging technologies, with the ability to support roadmaps that improve capability while reducing cost, size, weight, and power. Minimum of 4 years of experience in hardware verification, schematic capture, and PCB layout. Familiarity with version control tools such as Git or ClearCase. Familiarity with product lifecycle management tools such as Teamcenter. Familiarity with Confluence or similar collaboration tools. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
07/07/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Scientist, Electrical Engineer (Digital Hardware Design) Job Code: 38126 Job Location: Salt Lake City, Utah Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off L3Harris is seeking a motivated Senior Hardware Engineer to design and deliver advanced, mission-critical digital circuit technology for military communications systems, including software-defined radio applications. In this role, you will serve as a senior technical contributor, helping develop innovative digital hardware solutions for special operations and intelligence customers. You will work on complex national security challenges across areas such as threat deterrence, signals intelligence, cyber operations, machine learning, image processing, and data analytics. This position is part of a multidisciplinary team that values collaboration, innovation, and technical excellence. Essential Functions Provide hands-on technical expertise for digital hardware in communications systems programs. Support the development of innovative electrical engineering solutions aligned with business objectives. Develop circuit designs, requirements, design documentation, verification plans, procedures, and customer deliverables to meet program schedules. Lead and support cross-functional teams in system architecture, design, root cause analysis, and issue resolution. Design custom circuit card assemblies using FPGAs, embedded processors, networking components, and other electronics for challenging environmental conditions. Apply knowledge of industry-standard interfaces such as 10GE, 40GE, 100GE, 10/100/1000BASE-T, SPI, UART, SDRAM, DDR3, DDR4, JESD, and PCIe. Perform schematic capture, simulation, analysis, PCB layout, and hardware testing. Contribute to algorithm development, implementation, system architecture, verification, and testing, with emphasis on military requirements. Support proposal efforts through technical baseline reviews and engineering input. Collaborate regularly with program leadership and cross-functional teams including software, systems, mechanical, and test engineering. Participate in customer and program technical reviews and provide status updates on assigned work. Travel up to 5% as required. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or Electrical Engineering with 12 years of relevant experience; Graduate degree with 10 years of related experience. In lieu of a degree, 16 years of related experience. Active DoD Secret Security Clearance. Preferred Additional Skills Strong foundation in communications theory and electronic warfare. Ability to work independently or lead multidisciplinary teams in the development of communications systems and assemblies. Minimum of 8 years of circuit card assembly (CCA) and hardware design experience. Proficiency with Xilinx, Altera, or similar FPGA tools, and Siemens EDA (Mentor Graphics). Experience with high-speed communications and I/O design, including networking and isolation requirements. Hands-on experience with lab equipment such as oscilloscopes, logic analyzers, spectrum analyzers, receivers, signal generators, BERTs, TDR, and similar test equipment. Knowledge of industry trends and emerging technologies, with the ability to support roadmaps that improve capability while reducing cost, size, weight, and power. Minimum of 4 years of experience in hardware verification, schematic capture, and PCB layout. Familiarity with version control tools such as Git or ClearCase. Familiarity with product lifecycle management tools such as Teamcenter. Familiarity with Confluence or similar collaboration tools. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Smurfit Westrock (NYSE:SW) is the go-to leader and partner of choice in sustainable packaging. We are dedicated to creating efficient and scalable paper and packaging solutions to help solve complex packaging challenges. Guided by our values of safety, loyalty, integrity and respect, we are committed to delivering meaningful value for shareholders, customers, employees and the communities where we operate. This role requires worldwide travel up to 95% The Opportunity: The Field Service Automation Technician provides technical assistance to customers in the installation, maintenance, and optimization of Smurfit WestRock packaging machinery, with an emphasis on mechanical, electrical, and automation systems. This support includes machine audits, planned maintenance, commissioning activities, and other customer requested technical services such as troubleshooting and issue resolution. This role operates independently at customer sites and is responsible for identifying, diagnosing, and resolving issues across mechanical, electrical, and controls based systems. The technician captures real world operational data and lessons learned from the field and feeds that information back to Smurfit WestRock Service Management, Engineering, and Sales to support continuous improvement, product enhancements, and service strategy. The Field Service Automation Technician also assists-and may lead-in the development and training of less experienced Smurfit WestRock service technicians, including mentoring in automation fundamentals, controls diagnostics, and safe machine operation. Support and troubleshoot automation and controls systems including PLCs, HMIs, VFDs, servos, safety circuits, and industrial networks. Perform basic PLC and HMI diagnostics to support fault isolation, commissioning, and recovery of production equipment. Assist with automation upgrades, electrical retrofits, and controls modifications under the direction of Engineering or Service Management. Support connected automation and remote diagnostic tools where available to improve response time and machine uptime. Validate I/O functionality, safety circuits, and control logic behavior during FAT, SAT, commissioning, and audits. Collaborate with Engineering to provide field feedback on automation performance, reliability, and improvement opportunities. Train customer maintenance personnel and operators on automation related operation and troubleshooting, as appropriate to their role. What You Need to Succeed: Working knowledge of industrial automation systems including PLCs (Allen Bradley or equivalent), HMIs, VFDs, servo systems, and safety systems. Ability to diagnose automation related faults using HMIs, alarms, I/O states, and basic logic review. Understanding of industrial communication protocols (EtherNet/IP, fieldbus concepts, etc.). Ability to read and comprehend automation documentation including schematics, I/O lists, and control narratives. Comfort working alongside controls engineers and executing field level automation support under guidance. Technical degree preferred but not required. Prior field service experience required. Strong mechanical aptitude with electrical troubleshooting capability. Ability to read and interpret electrical and mechanical drawings/schematics. Working knowledge of ladder logic or similar programming structures. Strong written and verbal communication skills. Self motivated and able to work independently. Proficiency with PCs and standard software (MS Word, Excel, PowerPoint, internet navigation, Google Apps). Ability to write clear and accurate service, audit, and expense reports. Ability to develop procedures and training documentation. Ability to execute training programs based on documentation and individual needs. Willingness to learn new technologies. Team oriented mindset. Willingness to follow strict safety guidelines. What We Offer: Medical, Dental and Vision benefits available immediately 401K with company match 120 hours of Paid Time Off and 12 Paid Holidays Other benefits such as company paid Long-Term & Short-Term Disability, Tuition Assistance and more Annual Reimbursement for Safety Shoes Comprehensive training with numerous learning and development opportunities A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work. Travel Requirements: Approximately 95% worldwide travel. Non standard work schedules including weekends, holidays, night shifts, and extended hours. Passport required. Ability to travel within the U.S. and internationally, including Canada, Mexico, and Europe. Physical Requirements: Lift up to 50 lbs; heavy lifting and equipment movement required. Stand for extended periods (10+ hours). Sit, stoop, kneel, crouch, and climb ladders as required. Work at heights when needed. Work unsupervised. Work 12 hour shifts. Sit on airplanes for extended periods (10+ hours). Work around electricity and in confined spaces. Use standard business equipment such as computers, printers, and mobile devices. Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.
07/07/2026
Full time
Smurfit Westrock (NYSE:SW) is the go-to leader and partner of choice in sustainable packaging. We are dedicated to creating efficient and scalable paper and packaging solutions to help solve complex packaging challenges. Guided by our values of safety, loyalty, integrity and respect, we are committed to delivering meaningful value for shareholders, customers, employees and the communities where we operate. This role requires worldwide travel up to 95% The Opportunity: The Field Service Automation Technician provides technical assistance to customers in the installation, maintenance, and optimization of Smurfit WestRock packaging machinery, with an emphasis on mechanical, electrical, and automation systems. This support includes machine audits, planned maintenance, commissioning activities, and other customer requested technical services such as troubleshooting and issue resolution. This role operates independently at customer sites and is responsible for identifying, diagnosing, and resolving issues across mechanical, electrical, and controls based systems. The technician captures real world operational data and lessons learned from the field and feeds that information back to Smurfit WestRock Service Management, Engineering, and Sales to support continuous improvement, product enhancements, and service strategy. The Field Service Automation Technician also assists-and may lead-in the development and training of less experienced Smurfit WestRock service technicians, including mentoring in automation fundamentals, controls diagnostics, and safe machine operation. Support and troubleshoot automation and controls systems including PLCs, HMIs, VFDs, servos, safety circuits, and industrial networks. Perform basic PLC and HMI diagnostics to support fault isolation, commissioning, and recovery of production equipment. Assist with automation upgrades, electrical retrofits, and controls modifications under the direction of Engineering or Service Management. Support connected automation and remote diagnostic tools where available to improve response time and machine uptime. Validate I/O functionality, safety circuits, and control logic behavior during FAT, SAT, commissioning, and audits. Collaborate with Engineering to provide field feedback on automation performance, reliability, and improvement opportunities. Train customer maintenance personnel and operators on automation related operation and troubleshooting, as appropriate to their role. What You Need to Succeed: Working knowledge of industrial automation systems including PLCs (Allen Bradley or equivalent), HMIs, VFDs, servo systems, and safety systems. Ability to diagnose automation related faults using HMIs, alarms, I/O states, and basic logic review. Understanding of industrial communication protocols (EtherNet/IP, fieldbus concepts, etc.). Ability to read and comprehend automation documentation including schematics, I/O lists, and control narratives. Comfort working alongside controls engineers and executing field level automation support under guidance. Technical degree preferred but not required. Prior field service experience required. Strong mechanical aptitude with electrical troubleshooting capability. Ability to read and interpret electrical and mechanical drawings/schematics. Working knowledge of ladder logic or similar programming structures. Strong written and verbal communication skills. Self motivated and able to work independently. Proficiency with PCs and standard software (MS Word, Excel, PowerPoint, internet navigation, Google Apps). Ability to write clear and accurate service, audit, and expense reports. Ability to develop procedures and training documentation. Ability to execute training programs based on documentation and individual needs. Willingness to learn new technologies. Team oriented mindset. Willingness to follow strict safety guidelines. What We Offer: Medical, Dental and Vision benefits available immediately 401K with company match 120 hours of Paid Time Off and 12 Paid Holidays Other benefits such as company paid Long-Term & Short-Term Disability, Tuition Assistance and more Annual Reimbursement for Safety Shoes Comprehensive training with numerous learning and development opportunities A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work. Travel Requirements: Approximately 95% worldwide travel. Non standard work schedules including weekends, holidays, night shifts, and extended hours. Passport required. Ability to travel within the U.S. and internationally, including Canada, Mexico, and Europe. Physical Requirements: Lift up to 50 lbs; heavy lifting and equipment movement required. Stand for extended periods (10+ hours). Sit, stoop, kneel, crouch, and climb ladders as required. Work at heights when needed. Work unsupervised. Work 12 hour shifts. Sit on airplanes for extended periods (10+ hours). Work around electricity and in confined spaces. Use standard business equipment such as computers, printers, and mobile devices. Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. FM is seeking a Senior Research Scientist to develop new scientific knowledge, technologies, and engineering solutions for problems related to fire detection and suppression. The position will directly contribute to industrial property loss prevention, with emphasis on critical business areas and emerging hazards such as data centers, renewable energy industries, automated storage facilities, and operations involving ignitable liquids. Responsibilities Lead internally funded research projects to evaluate fire detection and suppression performance. Design experiments to support the development, calibration, and validation of physics based or empirical models. Apply available modeling tools and analytical methods for effective problem solving. Interpret and analyze experimental and model data and prepare high quality technical documentation. Communicate test methods, results, and engineering recommendations to internal and external stakeholders, including collaborators, clients, and industry partners. Manage all aspects of project management, including proposals, planning, execution, reporting, and engineering application. Qualifications: PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field. Strong fundamental background in combustion, fluid mechanics, heat transfer, and applied mathematics. Research experience involving experimental and analytical methods in thermal fluids, heat transfer, and combustion/fire science, as well as a general understanding of associated numerical methods. Research experience in the field of fire detection and suppression research, and familiarity with advanced sensor technology, artificial intelligence integration, and machine learning concepts is highly desirable. Excellent written and verbal communication skills and a demonstrated ability to develop effective solutions to complex technical challenges. Strong interpersonal and teamwork skills, with the ability to productively collaborate in an interdisciplinary research environment. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
07/07/2026
Full time
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. FM is seeking a Senior Research Scientist to develop new scientific knowledge, technologies, and engineering solutions for problems related to fire detection and suppression. The position will directly contribute to industrial property loss prevention, with emphasis on critical business areas and emerging hazards such as data centers, renewable energy industries, automated storage facilities, and operations involving ignitable liquids. Responsibilities Lead internally funded research projects to evaluate fire detection and suppression performance. Design experiments to support the development, calibration, and validation of physics based or empirical models. Apply available modeling tools and analytical methods for effective problem solving. Interpret and analyze experimental and model data and prepare high quality technical documentation. Communicate test methods, results, and engineering recommendations to internal and external stakeholders, including collaborators, clients, and industry partners. Manage all aspects of project management, including proposals, planning, execution, reporting, and engineering application. Qualifications: PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field. Strong fundamental background in combustion, fluid mechanics, heat transfer, and applied mathematics. Research experience involving experimental and analytical methods in thermal fluids, heat transfer, and combustion/fire science, as well as a general understanding of associated numerical methods. Research experience in the field of fire detection and suppression research, and familiarity with advanced sensor technology, artificial intelligence integration, and machine learning concepts is highly desirable. Excellent written and verbal communication skills and a demonstrated ability to develop effective solutions to complex technical challenges. Strong interpersonal and teamwork skills, with the ability to productively collaborate in an interdisciplinary research environment. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI 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 theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to 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).
07/07/2026
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI 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 theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to 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).
TOOLMAKER III BENEFITS 15% Shift Premium - 2ND SHIFT ONLY Medical & Vision Insurance Supplemental Insurance Plans Available Dental Insurance (Company paid) STD and Life & AD&D Insurance (Company paid) 401(K) Matching PTO & Unpaid Excused Absences Uniforms (Company paid) Training & Apprenticeship Opportunities Safety Shoe & Glasses Reimbursement Program Gym Membership Reimbursement Program JOB SUMMARY As a Toolmaker III, you play a critical role in developing and optimizing advanced tooling solutions for manufacturing processes. Leveraging your extensive experience and expertise as a toolmaker, you are responsible for designing, fabricating, manufacturing, and maintaining complex tools, dies, molds, and fixtures. Your role involves collaborating with cross-functional teams, providing technical guidance, and leading projects to drive process improvements and efficiency gains. ESSENTIAL DUTIES AND RESPONSIBILITIES Interprets complex engineering drawings, blueprints, and specifications to identify tooling requirements and constraints. Utilizes advanced computer-aided design (CAD) software to help create intricate 2D and 3D models of tooling components, ensuring optimal design and manufacturability. Directs the Toolmaker Is and IIs on daily tasks. Operates various precision machine tools, including CNC machines, EDM machines, grinders, and lathes, to fabricate and modify complex tooling components. Conducts thorough inspections and dimensional checks using advanced metrology equipment to ensure the accuracy and quality of finished tooling components. Assembles, fits, and tests intricate tooling components, verifying functionality, performance, and conformance to specifications. Leads cross-functional teams in developing and optimizing tooling designs, collaborating with engineers, production personnel, and quality assurance teams to drive innovation and efficiency. Troubleshoots and resolves complex tooling-related issues, utilizing root cause analysis and implementing corrective actions to improve performance and reliability. Develops and implements preventative maintenance programs to ensure tooling assets' longevity and optimal performance. Generates comprehensive documentation, including design records, modification logs, and maintenance reports, to maintain accurate records and facilitate knowledge transfer. Provides technical guidance and mentorship to Toolmaker Is and IIs, fostering a culture of continuous learning and skill development. The above list reflects the general details necessary to describe the principle and essential functions of the position. It shall not be construed as the only duties that may be assigned for the position. An individual in this position must successfully perform the essential duties and responsibilities listed above. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. MINIMUM QUALIFICATIONS Strong attention to detail, organization, and leadership skills. Ability to follow written and verbal directions. Strong teamwork skills. 5+ years of experience working with molds and dies. 5+ years of experience working as a Toolmaker. Working knowledge of safety protocols. Ability to use shop mathematics, working with drawings, specifications, and formulas in tooling. Ability to pass Company-provided Overhead Crane and Forklift Operating Certifications. Proficient at using floor equipment such as grinders, mills, lathes, etc. Must possess own toolbox and tools for the position. Experience with CAD software. Ability to work with equipment used for making hydraulic lines and water circuits. Proficient in timing and fitting of die components. Ability to remain at or under budget on projects. Proficient knowledge of various steel grades, heat treat specifications, and coatings/texturings. PREFERRED QUALIFICATIONS 10+ years of experience working with molds and dies. High school degree or equivalent. A Journeyman's Tool & Die Makers Accredited Apprenticeship or two years of technical college training in the tool & die field. PHYSICAL AND MENTAL DEMANDS An employee must meet the physical and mental demands described here to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Stand, walk, push, pull, reach overhead, and bend to the floor. Exert 1 to 25 pounds of force 75% of the time. Exert 26 to 50 pounds of force 20% of the time. Exert 50 plus pounds of force 5% of the time. Ability to read machine dial gages, blueprints, precision measuring instruments, and computer screens. Read English and understand sketches, routings, safety rules, operating and maintenance instructions, and procedure manuals. Communicate effectively with employees. WORKING ENVIRONMENT The work environment characteristics described here represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Indoor shop-based position. Moderate noise levels from operating machines. Physical hazards from moving equipment and machine parts. Machining fumes, dust, and mist. Skin exposed to oils and cutting fluids. 1st and 2nd shift openings Compensation details: 42-56 Hourly Wage PIc5-
07/07/2026
Full time
TOOLMAKER III BENEFITS 15% Shift Premium - 2ND SHIFT ONLY Medical & Vision Insurance Supplemental Insurance Plans Available Dental Insurance (Company paid) STD and Life & AD&D Insurance (Company paid) 401(K) Matching PTO & Unpaid Excused Absences Uniforms (Company paid) Training & Apprenticeship Opportunities Safety Shoe & Glasses Reimbursement Program Gym Membership Reimbursement Program JOB SUMMARY As a Toolmaker III, you play a critical role in developing and optimizing advanced tooling solutions for manufacturing processes. Leveraging your extensive experience and expertise as a toolmaker, you are responsible for designing, fabricating, manufacturing, and maintaining complex tools, dies, molds, and fixtures. Your role involves collaborating with cross-functional teams, providing technical guidance, and leading projects to drive process improvements and efficiency gains. ESSENTIAL DUTIES AND RESPONSIBILITIES Interprets complex engineering drawings, blueprints, and specifications to identify tooling requirements and constraints. Utilizes advanced computer-aided design (CAD) software to help create intricate 2D and 3D models of tooling components, ensuring optimal design and manufacturability. Directs the Toolmaker Is and IIs on daily tasks. Operates various precision machine tools, including CNC machines, EDM machines, grinders, and lathes, to fabricate and modify complex tooling components. Conducts thorough inspections and dimensional checks using advanced metrology equipment to ensure the accuracy and quality of finished tooling components. Assembles, fits, and tests intricate tooling components, verifying functionality, performance, and conformance to specifications. Leads cross-functional teams in developing and optimizing tooling designs, collaborating with engineers, production personnel, and quality assurance teams to drive innovation and efficiency. Troubleshoots and resolves complex tooling-related issues, utilizing root cause analysis and implementing corrective actions to improve performance and reliability. Develops and implements preventative maintenance programs to ensure tooling assets' longevity and optimal performance. Generates comprehensive documentation, including design records, modification logs, and maintenance reports, to maintain accurate records and facilitate knowledge transfer. Provides technical guidance and mentorship to Toolmaker Is and IIs, fostering a culture of continuous learning and skill development. The above list reflects the general details necessary to describe the principle and essential functions of the position. It shall not be construed as the only duties that may be assigned for the position. An individual in this position must successfully perform the essential duties and responsibilities listed above. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. MINIMUM QUALIFICATIONS Strong attention to detail, organization, and leadership skills. Ability to follow written and verbal directions. Strong teamwork skills. 5+ years of experience working with molds and dies. 5+ years of experience working as a Toolmaker. Working knowledge of safety protocols. Ability to use shop mathematics, working with drawings, specifications, and formulas in tooling. Ability to pass Company-provided Overhead Crane and Forklift Operating Certifications. Proficient at using floor equipment such as grinders, mills, lathes, etc. Must possess own toolbox and tools for the position. Experience with CAD software. Ability to work with equipment used for making hydraulic lines and water circuits. Proficient in timing and fitting of die components. Ability to remain at or under budget on projects. Proficient knowledge of various steel grades, heat treat specifications, and coatings/texturings. PREFERRED QUALIFICATIONS 10+ years of experience working with molds and dies. High school degree or equivalent. A Journeyman's Tool & Die Makers Accredited Apprenticeship or two years of technical college training in the tool & die field. PHYSICAL AND MENTAL DEMANDS An employee must meet the physical and mental demands described here to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Stand, walk, push, pull, reach overhead, and bend to the floor. Exert 1 to 25 pounds of force 75% of the time. Exert 26 to 50 pounds of force 20% of the time. Exert 50 plus pounds of force 5% of the time. Ability to read machine dial gages, blueprints, precision measuring instruments, and computer screens. Read English and understand sketches, routings, safety rules, operating and maintenance instructions, and procedure manuals. Communicate effectively with employees. WORKING ENVIRONMENT The work environment characteristics described here represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Indoor shop-based position. Moderate noise levels from operating machines. Physical hazards from moving equipment and machine parts. Machining fumes, dust, and mist. Skin exposed to oils and cutting fluids. 1st and 2nd shift openings Compensation details: 42-56 Hourly Wage PIc5-
Job Overview: Manufacturing Maintenance Inventory Coordinator - 3220 E. 26th Street, Los Angeles, California, 90058 Looking for a fresh start? A company help grow your skillset and advance your career? Apply Today! We are happy to speak with you about your experience and how you may be a fit within our teams. Lots of exciting things are happening at KDP and we'd love for you to be a part of it! Want to see more? Click the link to visit our website to view some awesome, short clips and information to show you what we're all about KDP Company Overview . You may also view all of our current openings on our Careers Page : KDP Careers - Los Angeles Shift / Schedule: This position will work 1st shift 7:00a-3:30p. Flexibility and availability to work Saturdays, overtime and holidays based on business needs. The Maintenance Inventory Coordinator is responsible for coordinating inventory processes to ensure accuracy to tactically support maintenance and, ultimately, production operations. Set up, update, and otherwise manage maintenance inventory data in SAP/ MRP systems. Review minimum/maximum levels and generate purchase requisitions as necessary. Receive purchased inventory into the SAP system. Appropriately put away received inventory items. (5S Standards) Perform weekly cycle count activities and report results. Assist in coordinating rebuilds of machine assemblies and spares. Assist in identification and sign out of parts in support of maintenance technicians. Build PM Kits to support preventative maintenance activities. Coordinate with Finance and Inventory Control to ensure regulatory compliance (i.e. SOX). Using SAP, Microsoft Excel, Word, Powerpoint, assist in the systematic reporting and review of existing inventory unneeded, non-economical items, or old versus new (e.g., obsolete, low usage, expensive, locally available, etc.). In particular, evaluate parts usage to identify repetitive repairs and part failures. Track and report on off-site inventory items. Organize inventory locations to enhance convenience for maintenance techs. Label locations and parts. Organize and execute vendor PO Support SAP administrative processes as assigned. Support engineering projects as assigned and/or assist others with related tasks. As applicable, assist maintenance technicians in emergencies. Comply with all regulatory and departmental policies, procedures, and standards. Back-up to Maintenance Planner Perform other duties as requested by management. Perform physical inventories when necessary. Total Rewards: Starting rate of pay is between $27.00/hr - $30.00/hr Benefits, subject to eligibility, and collective bargaining agreements (where applicable): Medical, Dental, Vision, Disability, Paid Time Off (including vacation and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Requirements: Two plus years working in a similar role or applicable experience. Ability to learn on the job and apply learning to complex problems. Working knowledge of computers, including Microsoft Office programs (Excel, Outlook, Word, etc.). Demonstrates strong technical aptitude and math skills. Ability to articulate and communicate effectively in written and electronic form. Ability to analyze and interpret spreadsheets and other analytical reports. Ability to get along with others, be punctual, and follow instructions. Ability to follow KPD policies and procedures. Physical Requirements/Working Conditions: Ability to lift 75 pounds frequently with mechanical assistance Ability to lift 50 pounds on a regular basis and 100 pounds occasionally. Ability to constantly lift, bend, stretch and stand during entire shift Ability to push/pull up to 1,500 pounds using supplied equipment Ability to frequently kneel, squat, bend, and stoop, twist, and reach overhead with repetitive motions High frequency of keyboarding/computer work required (75% of the workday). Company Overview: Keurig Dr Pepper (Nasdaq: KDP) is a leading beverage company with more than 150 owned, licensed and partner brands that meet a wide range of needs and occasions. Our North American refreshment beverage business holds leadership positions across carbonated soft drinks, water, juice and mixers with a portfolio of iconic brands such as Dr Pepper , Canada Dry , Mott's , A&W , Peñafiel , GHOST , 7UP , Snapple , Clamato and Core Hydration . Our global coffee business spans more than 100 markets and includes the leading Keurig single serve brewing system in the U.S. and Canada, along with powerhouse brands such as Peet's, L'OR and Jacobs, and other regional coffee leaders. Our more than 50,000 employees aim to enhance the experience of every beverage and coffee occasion while making a positive impact for people, communities and the planet. We strive to be an employer of choice, providing a culture and opportunities that empower our team to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation and growth. Will you join us? Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. AI does not make hiring decisions; all decisions throughout the hiring process are made by talent acquisition team members. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. In order for your application to be considered and opted out of AI, you must include the words "AI Opt-Out" and either job title and location or Job ID # in the email subject line in your email application.
07/05/2026
Full time
Job Overview: Manufacturing Maintenance Inventory Coordinator - 3220 E. 26th Street, Los Angeles, California, 90058 Looking for a fresh start? A company help grow your skillset and advance your career? Apply Today! We are happy to speak with you about your experience and how you may be a fit within our teams. Lots of exciting things are happening at KDP and we'd love for you to be a part of it! Want to see more? Click the link to visit our website to view some awesome, short clips and information to show you what we're all about KDP Company Overview . You may also view all of our current openings on our Careers Page : KDP Careers - Los Angeles Shift / Schedule: This position will work 1st shift 7:00a-3:30p. Flexibility and availability to work Saturdays, overtime and holidays based on business needs. The Maintenance Inventory Coordinator is responsible for coordinating inventory processes to ensure accuracy to tactically support maintenance and, ultimately, production operations. Set up, update, and otherwise manage maintenance inventory data in SAP/ MRP systems. Review minimum/maximum levels and generate purchase requisitions as necessary. Receive purchased inventory into the SAP system. Appropriately put away received inventory items. (5S Standards) Perform weekly cycle count activities and report results. Assist in coordinating rebuilds of machine assemblies and spares. Assist in identification and sign out of parts in support of maintenance technicians. Build PM Kits to support preventative maintenance activities. Coordinate with Finance and Inventory Control to ensure regulatory compliance (i.e. SOX). Using SAP, Microsoft Excel, Word, Powerpoint, assist in the systematic reporting and review of existing inventory unneeded, non-economical items, or old versus new (e.g., obsolete, low usage, expensive, locally available, etc.). In particular, evaluate parts usage to identify repetitive repairs and part failures. Track and report on off-site inventory items. Organize inventory locations to enhance convenience for maintenance techs. Label locations and parts. Organize and execute vendor PO Support SAP administrative processes as assigned. Support engineering projects as assigned and/or assist others with related tasks. As applicable, assist maintenance technicians in emergencies. Comply with all regulatory and departmental policies, procedures, and standards. Back-up to Maintenance Planner Perform other duties as requested by management. Perform physical inventories when necessary. Total Rewards: Starting rate of pay is between $27.00/hr - $30.00/hr Benefits, subject to eligibility, and collective bargaining agreements (where applicable): Medical, Dental, Vision, Disability, Paid Time Off (including vacation and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Requirements: Two plus years working in a similar role or applicable experience. Ability to learn on the job and apply learning to complex problems. Working knowledge of computers, including Microsoft Office programs (Excel, Outlook, Word, etc.). Demonstrates strong technical aptitude and math skills. Ability to articulate and communicate effectively in written and electronic form. Ability to analyze and interpret spreadsheets and other analytical reports. Ability to get along with others, be punctual, and follow instructions. Ability to follow KPD policies and procedures. Physical Requirements/Working Conditions: Ability to lift 75 pounds frequently with mechanical assistance Ability to lift 50 pounds on a regular basis and 100 pounds occasionally. Ability to constantly lift, bend, stretch and stand during entire shift Ability to push/pull up to 1,500 pounds using supplied equipment Ability to frequently kneel, squat, bend, and stoop, twist, and reach overhead with repetitive motions High frequency of keyboarding/computer work required (75% of the workday). Company Overview: Keurig Dr Pepper (Nasdaq: KDP) is a leading beverage company with more than 150 owned, licensed and partner brands that meet a wide range of needs and occasions. Our North American refreshment beverage business holds leadership positions across carbonated soft drinks, water, juice and mixers with a portfolio of iconic brands such as Dr Pepper , Canada Dry , Mott's , A&W , Peñafiel , GHOST , 7UP , Snapple , Clamato and Core Hydration . Our global coffee business spans more than 100 markets and includes the leading Keurig single serve brewing system in the U.S. and Canada, along with powerhouse brands such as Peet's, L'OR and Jacobs, and other regional coffee leaders. Our more than 50,000 employees aim to enhance the experience of every beverage and coffee occasion while making a positive impact for people, communities and the planet. We strive to be an employer of choice, providing a culture and opportunities that empower our team to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation and growth. Will you join us? Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. AI does not make hiring decisions; all decisions throughout the hiring process are made by talent acquisition team members. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. In order for your application to be considered and opted out of AI, you must include the words "AI Opt-Out" and either job title and location or Job ID # in the email subject line in your email application.
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
07/05/2026
Full time
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
07/05/2026
Full time
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
07/05/2026
Full time
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably. Our employees are focused on safe and reliable operations, environmental stewardship, and disciplined capital and corporate management. By joining CF, you will be part of a team that brings their varied experiences, wide-ranging knowledge and diverse talents together to deliver important work and you'll be able to pursue complex, exciting opportunities that help you continue to grow and achieve your potential in different areas. You'll take pride in working for a company that lives its values and where you can be yourself at work, as part of an authentic team that encourages you to share your views and opinions. Our eight manufacturing complexes in the United States, Canada, and the United Kingdom, an unparalleled storage, transportation and distribution network in North America, and logistics capabilities enabling a global reach underpin our strategy to leverage our unique capabilities to accelerate the world's transition to clean energy. Function: Maintenance Job Summary: The Maintenance Manager is a key member of the site leadership team and is responsible for the safe, efficient, and effective performance of the site's maintenance department. This position oversees a team of approximately 40 exempt and non-exempt employees responsible for maintenance and reliability of a chemical manufacturing facility. This position reports directly to the General Manager, supporting the vision of operational excellence. Job Description: Job Responsibilities: Actively support and participate in established corporate and facility-based Environment, Health, and Safety programs. Support and enhance facility incident reduction initiatives through personal engagement and promoting individual accountability for safety performance within the Maintenance Department. Ensure awareness of and compliance with facility EHS policies and safety standards throughout the Department. Ensure effective programs in safety, cost control and reporting, and manpower training, development, and utilization. Maintain and administer a competent force of maintenance personnel; train, counsel, and appraise performance of personnel; recommend staffing and personnel actions; design and change organizational structure with approval of General Manager; assign functional duties and reviews periodically with General Manager. Work closely with maintenance supervisors and the human resources department to see that all aspects of personnel policy are equitably administered and that an effective training program for all personnel is established and in effect. Direct and/or recommend necessary changes to plant pro-cesses, equipment, or procedures to meet operational objectives. Develop and maintain effective relationships both internally and externally to meet operational objec-tives. Work independently and under conditions of high interdependency. Work with other CF Industries manufacturing sites to share best practices for turnaround planning, equipment repairs, preventative/predictive maintenance strategies, and technical training/development of crafts people. Coordinate resources to ensure appropriate records and records management systems are in place to support maintenance activities. Liaise with the Engineering Department to ensure engineering resources provide appropriate support for on-going maintenance activities and vice versa. Coordinate and assist efforts in other departments as needed. Ie. EHS, Operations, Procurement, and Accounting. Prepare and administer annual department operating budget and actively participate in the facility budgeting process. Develop and implement sound plans which include managing large maintenance turn-arounds. Work closely with maintenance planning team to ensure that accounting procedures, work order systems, equipment records and preventive maintenance programs are effective and being implemented as designed. Responsible for long-range planning and execution of maintenance activities relative to turnarounds, expansions, etc. Develop relationships with contractors, suppliers, and service companies where CF is one of their preferred customers; therefore, assuring good response in time of need. Monitor contractor's performance to ensure they abide by all of CF's standards and are safe, competent, and competitive providers. Provide leadership and active support in the planning of the turnaround maintenance activities including coordinating with other departments and work groups, scheduling, and allocation of staff, determining of contractor and equipment requirements, etc. Ensure adherence within planning, scheduling, and field performance activities to established maintenance procedures and regulatory standards for installation and maintenance of equipment. Scope/Contribution: This position is responsible for the maintenance of the total complex equipment. The responsibility entails responding to routine daily operations, plant turnarounds and emergency shutdowns. The position requires extensive external contacts regarding plant repairs, material requirements and to remain current with new technological developments. This position has significant cost savings impact with regards to plant equipment reliability, and workforce requirements to meet all necessary needs. Required Qualifications: B.S. Engineering, with 10+ years of supervisory experience in a chemical manufacturing facility. Effective leadership skills including the ability to establish and articulate strategic and operating objectives. Experience should include managing large scale turnaround projects from a maintenance standpoint, with preferred experience around nitrogen fertilizer facilities. Solid communication skills including the ability to effectively converse in English, compose written documents and interact effectively with peers, superintendents, supervisors, and managers. Familiar with applicable codes, regulations, and standards. Successful Incumbents will have: Effective organizational, time management and communication skills. Physical capability, availability, willingness, and ability to work in a team environment. Good interpersonal and influential skills. Strong computer related skills. High-level of initiative and independent decision-making ability. Strong analytical, troubleshooting, and decision-making skills. Self-motivated in advancing to the highest level possible. High functioning engineering knowledge and related work experience. FMLA: Employee Polygraph Protection Act Employees in Canada can learn more about their rights by viewing the "Canadian Human Rights Act". Notice Regarding Potential Use of Artificial Intelligence in the Recruitment Process As part of our recruitment process, CF Industries may use automated tools, including artificial intelligence ("AI") and machine learning technologies, to assist recruiters in identifying and prioritizing candidates whose qualifications align with job-related criteria, including information provided during the application process such as resumes, work history, education, qualifications, and responses to application questions. These tools support but do not replace human decision-making, and all final employment decisions are made by our Talent Acquisition team and/or hiring managers exercising independent judgment. If you need any assistance seeking a job opportunity at CF Industries, need reasonable accommodation with the application process, or have questions about our use of AI, please call or contact us at . JOIN OUR TALENT NETWORK
07/05/2026
Full time
At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably. Our employees are focused on safe and reliable operations, environmental stewardship, and disciplined capital and corporate management. By joining CF, you will be part of a team that brings their varied experiences, wide-ranging knowledge and diverse talents together to deliver important work and you'll be able to pursue complex, exciting opportunities that help you continue to grow and achieve your potential in different areas. You'll take pride in working for a company that lives its values and where you can be yourself at work, as part of an authentic team that encourages you to share your views and opinions. Our eight manufacturing complexes in the United States, Canada, and the United Kingdom, an unparalleled storage, transportation and distribution network in North America, and logistics capabilities enabling a global reach underpin our strategy to leverage our unique capabilities to accelerate the world's transition to clean energy. Function: Maintenance Job Summary: The Maintenance Manager is a key member of the site leadership team and is responsible for the safe, efficient, and effective performance of the site's maintenance department. This position oversees a team of approximately 40 exempt and non-exempt employees responsible for maintenance and reliability of a chemical manufacturing facility. This position reports directly to the General Manager, supporting the vision of operational excellence. Job Description: Job Responsibilities: Actively support and participate in established corporate and facility-based Environment, Health, and Safety programs. Support and enhance facility incident reduction initiatives through personal engagement and promoting individual accountability for safety performance within the Maintenance Department. Ensure awareness of and compliance with facility EHS policies and safety standards throughout the Department. Ensure effective programs in safety, cost control and reporting, and manpower training, development, and utilization. Maintain and administer a competent force of maintenance personnel; train, counsel, and appraise performance of personnel; recommend staffing and personnel actions; design and change organizational structure with approval of General Manager; assign functional duties and reviews periodically with General Manager. Work closely with maintenance supervisors and the human resources department to see that all aspects of personnel policy are equitably administered and that an effective training program for all personnel is established and in effect. Direct and/or recommend necessary changes to plant pro-cesses, equipment, or procedures to meet operational objectives. Develop and maintain effective relationships both internally and externally to meet operational objec-tives. Work independently and under conditions of high interdependency. Work with other CF Industries manufacturing sites to share best practices for turnaround planning, equipment repairs, preventative/predictive maintenance strategies, and technical training/development of crafts people. Coordinate resources to ensure appropriate records and records management systems are in place to support maintenance activities. Liaise with the Engineering Department to ensure engineering resources provide appropriate support for on-going maintenance activities and vice versa. Coordinate and assist efforts in other departments as needed. Ie. EHS, Operations, Procurement, and Accounting. Prepare and administer annual department operating budget and actively participate in the facility budgeting process. Develop and implement sound plans which include managing large maintenance turn-arounds. Work closely with maintenance planning team to ensure that accounting procedures, work order systems, equipment records and preventive maintenance programs are effective and being implemented as designed. Responsible for long-range planning and execution of maintenance activities relative to turnarounds, expansions, etc. Develop relationships with contractors, suppliers, and service companies where CF is one of their preferred customers; therefore, assuring good response in time of need. Monitor contractor's performance to ensure they abide by all of CF's standards and are safe, competent, and competitive providers. Provide leadership and active support in the planning of the turnaround maintenance activities including coordinating with other departments and work groups, scheduling, and allocation of staff, determining of contractor and equipment requirements, etc. Ensure adherence within planning, scheduling, and field performance activities to established maintenance procedures and regulatory standards for installation and maintenance of equipment. Scope/Contribution: This position is responsible for the maintenance of the total complex equipment. The responsibility entails responding to routine daily operations, plant turnarounds and emergency shutdowns. The position requires extensive external contacts regarding plant repairs, material requirements and to remain current with new technological developments. This position has significant cost savings impact with regards to plant equipment reliability, and workforce requirements to meet all necessary needs. Required Qualifications: B.S. Engineering, with 10+ years of supervisory experience in a chemical manufacturing facility. Effective leadership skills including the ability to establish and articulate strategic and operating objectives. Experience should include managing large scale turnaround projects from a maintenance standpoint, with preferred experience around nitrogen fertilizer facilities. Solid communication skills including the ability to effectively converse in English, compose written documents and interact effectively with peers, superintendents, supervisors, and managers. Familiar with applicable codes, regulations, and standards. Successful Incumbents will have: Effective organizational, time management and communication skills. Physical capability, availability, willingness, and ability to work in a team environment. Good interpersonal and influential skills. Strong computer related skills. High-level of initiative and independent decision-making ability. Strong analytical, troubleshooting, and decision-making skills. Self-motivated in advancing to the highest level possible. High functioning engineering knowledge and related work experience. FMLA: Employee Polygraph Protection Act Employees in Canada can learn more about their rights by viewing the "Canadian Human Rights Act". Notice Regarding Potential Use of Artificial Intelligence in the Recruitment Process As part of our recruitment process, CF Industries may use automated tools, including artificial intelligence ("AI") and machine learning technologies, to assist recruiters in identifying and prioritizing candidates whose qualifications align with job-related criteria, including information provided during the application process such as resumes, work history, education, qualifications, and responses to application questions. These tools support but do not replace human decision-making, and all final employment decisions are made by our Talent Acquisition team and/or hiring managers exercising independent judgment. If you need any assistance seeking a job opportunity at CF Industries, need reasonable accommodation with the application process, or have questions about our use of AI, please call or contact us at . JOIN OUR TALENT NETWORK
Company Description "Invented for Life" drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master's degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10+ years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
07/03/2026
Full time
Company Description "Invented for Life" drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master's degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10+ years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/02/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/02/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/02/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/02/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/02/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
07/02/2026
Full time
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
