AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities We empower our engineers to take ownership of their realm and make a difference. They start by gathering requirements, diving deep to choose technologies, designing features and spinning new services, coding and reviewing, deploying software across the globe and maintaining services. In AWS, we are nimble and agile, like being part of a startup, innovating while collaborating with a smart group of people around you. We are thrilled about how software is changing the landscape of networking. We operate on an unimaginable scale. We push the boundaries in robustness, fault-tolerance and smart adaptive algorithms that can react intelligently to real-world events. Software engineers on our team contribute to every phase of the development process and deploy scalable software systems worldwide. We are looking for an experienced Software Development Engineer with production quality software services experience. You are comfortable working in a fast-paced environment where delivery of new services and features is very rapid.The ideal candidate will demonstrate established software engineering expertise, having successfully developed and launched extensive distributed systems in collaboration with a team. You are adaptable, capable of excelling in a dynamic and entrepreneurial setting. You will be responsible for delivering high quality, extensible design and code. You are expected to mentor and guide junior engineers. You are comfortable managing competing priorities and are able to bring order to ambiguous scenarios. You identify and implement optimizations for performance, scalability, and efficiency. Maturity, impeccable judgment, and the ability to influence and lead are essential to success in this role. You are data-driven and analytical. You have the ability to communicate clearly and effectively, both in writing and verbally, across organizations, and up to senior leadership.Previous Routing Protocols/Networking background is a plus. About the team We are the AWS Intent Driven Networking (AIDN) Team, and we own the design and development of services to enable Intent-driven management of the AWS Network. Our mission is to transform the way AWS Networks are managed by seeking to make our networks consistent, verifiably safe, predictable and agile. Our vision is to enable our customers to express expected network behavior as Intents that are compiled, tested and reflected in our networks through close-loop Authoritative control systems, with Change SLAs measured in the order of seconds, not days or weeks. Working at AWS in the Core Networking Team • Meet Matt, Director, Core Networking BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - 3+ years of programming with at least one software programming language experience PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience building complex software systems that have been successfully delivered to customers - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Santa Clara - 165 600.00 USD annually
09/20/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities We empower our engineers to take ownership of their realm and make a difference. They start by gathering requirements, diving deep to choose technologies, designing features and spinning new services, coding and reviewing, deploying software across the globe and maintaining services. In AWS, we are nimble and agile, like being part of a startup, innovating while collaborating with a smart group of people around you. We are thrilled about how software is changing the landscape of networking. We operate on an unimaginable scale. We push the boundaries in robustness, fault-tolerance and smart adaptive algorithms that can react intelligently to real-world events. Software engineers on our team contribute to every phase of the development process and deploy scalable software systems worldwide. We are looking for an experienced Software Development Engineer with production quality software services experience. You are comfortable working in a fast-paced environment where delivery of new services and features is very rapid.The ideal candidate will demonstrate established software engineering expertise, having successfully developed and launched extensive distributed systems in collaboration with a team. You are adaptable, capable of excelling in a dynamic and entrepreneurial setting. You will be responsible for delivering high quality, extensible design and code. You are expected to mentor and guide junior engineers. You are comfortable managing competing priorities and are able to bring order to ambiguous scenarios. You identify and implement optimizations for performance, scalability, and efficiency. Maturity, impeccable judgment, and the ability to influence and lead are essential to success in this role. You are data-driven and analytical. You have the ability to communicate clearly and effectively, both in writing and verbally, across organizations, and up to senior leadership.Previous Routing Protocols/Networking background is a plus. About the team We are the AWS Intent Driven Networking (AIDN) Team, and we own the design and development of services to enable Intent-driven management of the AWS Network. Our mission is to transform the way AWS Networks are managed by seeking to make our networks consistent, verifiably safe, predictable and agile. Our vision is to enable our customers to express expected network behavior as Intents that are compiled, tested and reflected in our networks through close-loop Authoritative control systems, with Change SLAs measured in the order of seconds, not days or weeks. Working at AWS in the Core Networking Team • Meet Matt, Director, Core Networking BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - 3+ years of programming with at least one software programming language experience PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience building complex software systems that have been successfully delivered to customers - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Santa Clara - 165 600.00 USD annually
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We build systems software that initializes custom accelerator chips and monitors peripherals with device drivers for I2C, SPI, PCie and technologies alike. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team! Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for initialization, monitoring, debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, TX, Austin - 143 400.00 USD annually
09/20/2026
Full time
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We build systems software that initializes custom accelerator chips and monitors peripherals with device drivers for I2C, SPI, PCie and technologies alike. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team! Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for initialization, monitoring, debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, TX, Austin - 143 400.00 USD annually
Do you want to be part of AI revolution? At Amazon our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use. Experience in object-oriented languages like C++/Java is a must, experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required. Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus! Explore the product and our history! html AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Key job responsibilities You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler's performance, stability and user-interface. You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy state of the art ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to work with open-source software (e.g., StableHLO, OpenXLA, MLIR) to pioneer optimizing advanced ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers - developers across the globe. A day in the life As you design and code solutions to help our team drive efficiencies in compiler architecture, you'll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. You'll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon wide teams) and external stakeholders (open-source communities). Lastly, work in a startup-like development environment, where you're always working on the most important stuff. About the team About the Team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - Master's degree or PhD in Computer Science, or a related technical field. - 3+ years of experience writing production grade code in object-oriented languages such as C++/Java. - Experience in compiler design for CPU/GPU/Vector engines/ML-accelerators. - Experience with OpenSource compiler toolset like LLVM/MLIR. - Experience with the following technologies: PyTorch, OpenXLA, StableHLO, JAX, TVM, deep learning models, and algorithms. - Experience with modern build systems like Bazel/CMake. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually
09/20/2026
Full time
Do you want to be part of AI revolution? At Amazon our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use. Experience in object-oriented languages like C++/Java is a must, experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required. Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus! Explore the product and our history! html AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Key job responsibilities You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler's performance, stability and user-interface. You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy state of the art ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to work with open-source software (e.g., StableHLO, OpenXLA, MLIR) to pioneer optimizing advanced ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers - developers across the globe. A day in the life As you design and code solutions to help our team drive efficiencies in compiler architecture, you'll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. You'll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon wide teams) and external stakeholders (open-source communities). Lastly, work in a startup-like development environment, where you're always working on the most important stuff. About the team About the Team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - Master's degree or PhD in Computer Science, or a related technical field. - 3+ years of experience writing production grade code in object-oriented languages such as C++/Java. - Experience in compiler design for CPU/GPU/Vector engines/ML-accelerators. - Experience with OpenSource compiler toolset like LLVM/MLIR. - Experience with the following technologies: PyTorch, OpenXLA, StableHLO, JAX, TVM, deep learning models, and algorithms. - Experience with modern build systems like Bazel/CMake. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually
As a Neuron Collectives Software Developer, you will: Enhance collective algorithms and topologies for optimal training performance Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization Monitor and analyze processor, DMA, firmware, and workload metrics Optimize collective operations to scale AI compute across the data center through low level device driver development Work closely with the hardware team to co-optimize software and Trainium silicon Develop and optimize C/C++ implementations of collective communication patterns Investigate and implement improvements for specific training topologies used by modern LLMs Build and maintain analysis frameworks and automation solutions The role offers opportunities to work on cutting-edge AI training hardware while contributing to one of Amazon's most critical initiatives. A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you'd be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you'll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers. The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving. About the team Annapurna Labs, part of AWS, created Trainium as a purpose-built AI training chip to revolutionize machine learning at Amazon scale. The Neuron Collectives team owns the software stack that enables collective operations - the communication primitives that allow AI training to scale across thousands of chips in the data center. Our work is essential to training the frontier models that power AI today. We work closely with hardware teams to extract maximum performance from Trainium, ensuring that compute and interconnect bandwidth are fully utilized. Our team sits at the intersection of hardware, firmware, and distributed systems. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually
09/20/2026
Full time
As a Neuron Collectives Software Developer, you will: Enhance collective algorithms and topologies for optimal training performance Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization Monitor and analyze processor, DMA, firmware, and workload metrics Optimize collective operations to scale AI compute across the data center through low level device driver development Work closely with the hardware team to co-optimize software and Trainium silicon Develop and optimize C/C++ implementations of collective communication patterns Investigate and implement improvements for specific training topologies used by modern LLMs Build and maintain analysis frameworks and automation solutions The role offers opportunities to work on cutting-edge AI training hardware while contributing to one of Amazon's most critical initiatives. A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you'd be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you'll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers. The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving. About the team Annapurna Labs, part of AWS, created Trainium as a purpose-built AI training chip to revolutionize machine learning at Amazon scale. The Neuron Collectives team owns the software stack that enables collective operations - the communication primitives that allow AI training to scale across thousands of chips in the data center. Our work is essential to training the frontier models that power AI today. We work closely with hardware teams to extract maximum performance from Trainium, ensuring that compute and interconnect bandwidth are fully utilized. Our team sits at the intersection of hardware, firmware, and distributed systems. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We touch technologies including accelerator chip initialization, setting up clocks and voltages, to systems level device drivers for I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for initialization, monitoring, debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, TX, Austin - 143 400.00 USD annually
09/20/2026
Full time
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We touch technologies including accelerator chip initialization, setting up clocks and voltages, to systems level device drivers for I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for initialization, monitoring, debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, TX, Austin - 143 400.00 USD annually
Job Description Job Description NOW HIRING ON-SITE FULL TIMESenior Operations Research AnalystNavy Warfighting Analysis Theater Undersea Warfare Norfolk, VALocationClearanceScheduleTravelNSA Hampton Roads / Naval Station Norfolk (on-site)Active Top Secret / SCI required at startFull-timeNone requiredAbout the RoleHeartland Consulting is hiring a Senior Operations Research Analyst to sit on-site with Commander, Submarine Group Two (COMSUBGRU TWO) in its role as Theater Undersea Warfare Commander (TUSWC) for U.S. Second Fleet. The analyst is the command's embedded OA/OR capability - the person who finds where analysis can improve TUSWC planning, builds the methods, trains the staff to use them, and leaves behind documented processes the watch floor can run without the contractor in the room.This is not a remote study contract and not a generic "data analyst" seat. You will work in a classified Navy staff environment, handle operational data, brief seniors (including flag-level audiences), and institutionalize operations-analysis methods for maritime homeland defense and theater undersea warfare.Heartland is the incumbent on this effort. The current analyst is in the seat today. We are recruiting the successor now so the command has a clean, qualified handoff and no gap in on-site support.What You Will DoProvide on-site operations analysis / operations research support to the TUSWC staff at COMSUBGRU TWO.Identify opportunities to insert OA/OR into the TUSWC planning process and improve operational effectiveness.Collect, clean, manage, and employ operational datasets for trend analysis and predictive analytics.Formulate and solve optimization problems (linear, nonlinear, network, and integer programming) that inform planning choices.Build and use stochastic models (Markov chains, Poisson processes, queueing, renewal processes) and simulation with design-of-experiments techniques.Apply systems analysis, including risk-benefit and cost-benefit analysis, to deployment, requirements, and course-of-action questions.Employ OA/OR tools in live TUSWC planning and operations - not only after-action studies.Develop and document methods, processes, and procedures the TUSWC staff can implement.Train TUSWC staff on those methods and leave behind usable SOPs, briefs, and implementation products.Liaise with other TUSWC staffs, OA/OR subject-matter experts, and tool developers.Deliver the contract products: OA/OR Support Plan Brief (30 days after award), monthly progress and financial status reports, interim progress reviews, a final annotated brief, and a Final OA/OR Implementation Plan.Brief results independently, in writing and orally, including annotated PowerPoint for senior leadership with read-aheads.Required QualificationsThese are the contract minimums. Candidates who do not meet them cannot be placed on this task.Education: Bachelor's degree in Operations Research or Operations Analysis. (The contract is specific - related degrees such as mathematics, statistics, or engineering do not substitute for this requirement.)Preferred: Master of Science in Operations Research or Operations Analysis (NPS Curriculum 360 / 355 or civilian equivalent).Experience: Ten (10) years applying operations research / operations analysis to Navy warfighting analysis.Demonstrated skill in mathematics and computation, including programming for complex analysis, algorithm development, and simulation.Demonstrated skill in data preparation (collect, clean, manipulate) and statistical / probability analysis of decision problems.Demonstrated skill in optimization, stochastic modeling, simulation with design of experiments, and systems analysis.Proven ability to conduct independent analysis and present results orally and in writing to operational customers.Clearance: Active Top Secret / SCI. U.S. citizenship required. Ability to obtain NATO briefings after hire. Must be eligible for a DISS Visit Access Request to COMSUBGRU TWO.Ability to work full-time on-site at NSA Hampton Roads / Naval Station Norfolk (Building NH-13 / TUSWC spaces). No remote option for this seat.Desired QualificationsNavy 3211P / 3211Q operations-analysis subspecialty, or equivalent civilian utilization tour at a Fleet, TYCOM, numbered-fleet, OPNAV N81, UWDC Tactical Analysis Group, CNA field, NUWC, or TUSWC staff.Direct undersea warfare, theater ASW, maritime homeland defense, or submarine-force staff experience.Prior on-site embed at a Navy operational staff (not only laboratory or headquarters studies).Experience training operators or staff officers on analytic methods and leaving durable process documentation.Familiarity with SIPRNet collaboration, OPSEC, and handling of classified / CUI / PPBE data.Tools such as Python, R, MATLAB, Julia, or equivalent; optimization solvers; discrete-event or combat simulation; and standard Navy briefing products.Experience briefing O-6 / flag / SES audiences.Work EnvironmentPrimary workplace: COMSUBGRU TWO, 1430 Mitscher Avenue, Norfolk, VA 23551 (NSA Hampton Roads).Classification: work up to TOP SECRET / SCI; incidental TS/SCI research into models; meetings at TS/SCI; NATO information access.Government intends to provide NIPR and SIPR access on site. Contractor provides personal analytic tools unless otherwise furnished.Travel is not part of this task. Other direct costs are not authorized.Analysis, methods, algorithms, code, and data developed on contract become U.S. Government property.Compensation and BenefitsFinal Compensation is based on Education and Experience.Compensation is competitive for a TS/SCI, on-site Navy warfighting OR seat in Hampton Roads and is commensurate with education, clearance, and directly relevant experience. Heartland typically provides:Health, dental, and vision insurance401(k) with company matchPaid time off and paid federal holidaysSupport for professional affiliations (MORS, INFORMS) when mission allowsFinal offer depends on qualifications, clearance currency, and start-date availability. Target start is aligned to contract award / 29 September 2026, with an earlier overlap preferred so the outgoing analyst can conduct a structured turnover.How to ApplyApply HERE to this job posting, orEmail a résumé (PDF) and a one-page letter that maps your education and ten-year Navy-warfighting OR experience to the required skill list above. State clearance level, investigation date or last PR date if known, and earliest start date.Apply: line: Senior OR Analyst - COMSUBGRU TWO TUSWC - Last Name Website: citizens only. Heartland Consulting is a Veteran-Owned Small Business and an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. This position requires an active U.S. security clearance; clearance eligibility is a bona fide occupational qualification.
09/19/2026
Full time
Job Description Job Description NOW HIRING ON-SITE FULL TIMESenior Operations Research AnalystNavy Warfighting Analysis Theater Undersea Warfare Norfolk, VALocationClearanceScheduleTravelNSA Hampton Roads / Naval Station Norfolk (on-site)Active Top Secret / SCI required at startFull-timeNone requiredAbout the RoleHeartland Consulting is hiring a Senior Operations Research Analyst to sit on-site with Commander, Submarine Group Two (COMSUBGRU TWO) in its role as Theater Undersea Warfare Commander (TUSWC) for U.S. Second Fleet. The analyst is the command's embedded OA/OR capability - the person who finds where analysis can improve TUSWC planning, builds the methods, trains the staff to use them, and leaves behind documented processes the watch floor can run without the contractor in the room.This is not a remote study contract and not a generic "data analyst" seat. You will work in a classified Navy staff environment, handle operational data, brief seniors (including flag-level audiences), and institutionalize operations-analysis methods for maritime homeland defense and theater undersea warfare.Heartland is the incumbent on this effort. The current analyst is in the seat today. We are recruiting the successor now so the command has a clean, qualified handoff and no gap in on-site support.What You Will DoProvide on-site operations analysis / operations research support to the TUSWC staff at COMSUBGRU TWO.Identify opportunities to insert OA/OR into the TUSWC planning process and improve operational effectiveness.Collect, clean, manage, and employ operational datasets for trend analysis and predictive analytics.Formulate and solve optimization problems (linear, nonlinear, network, and integer programming) that inform planning choices.Build and use stochastic models (Markov chains, Poisson processes, queueing, renewal processes) and simulation with design-of-experiments techniques.Apply systems analysis, including risk-benefit and cost-benefit analysis, to deployment, requirements, and course-of-action questions.Employ OA/OR tools in live TUSWC planning and operations - not only after-action studies.Develop and document methods, processes, and procedures the TUSWC staff can implement.Train TUSWC staff on those methods and leave behind usable SOPs, briefs, and implementation products.Liaise with other TUSWC staffs, OA/OR subject-matter experts, and tool developers.Deliver the contract products: OA/OR Support Plan Brief (30 days after award), monthly progress and financial status reports, interim progress reviews, a final annotated brief, and a Final OA/OR Implementation Plan.Brief results independently, in writing and orally, including annotated PowerPoint for senior leadership with read-aheads.Required QualificationsThese are the contract minimums. Candidates who do not meet them cannot be placed on this task.Education: Bachelor's degree in Operations Research or Operations Analysis. (The contract is specific - related degrees such as mathematics, statistics, or engineering do not substitute for this requirement.)Preferred: Master of Science in Operations Research or Operations Analysis (NPS Curriculum 360 / 355 or civilian equivalent).Experience: Ten (10) years applying operations research / operations analysis to Navy warfighting analysis.Demonstrated skill in mathematics and computation, including programming for complex analysis, algorithm development, and simulation.Demonstrated skill in data preparation (collect, clean, manipulate) and statistical / probability analysis of decision problems.Demonstrated skill in optimization, stochastic modeling, simulation with design of experiments, and systems analysis.Proven ability to conduct independent analysis and present results orally and in writing to operational customers.Clearance: Active Top Secret / SCI. U.S. citizenship required. Ability to obtain NATO briefings after hire. Must be eligible for a DISS Visit Access Request to COMSUBGRU TWO.Ability to work full-time on-site at NSA Hampton Roads / Naval Station Norfolk (Building NH-13 / TUSWC spaces). No remote option for this seat.Desired QualificationsNavy 3211P / 3211Q operations-analysis subspecialty, or equivalent civilian utilization tour at a Fleet, TYCOM, numbered-fleet, OPNAV N81, UWDC Tactical Analysis Group, CNA field, NUWC, or TUSWC staff.Direct undersea warfare, theater ASW, maritime homeland defense, or submarine-force staff experience.Prior on-site embed at a Navy operational staff (not only laboratory or headquarters studies).Experience training operators or staff officers on analytic methods and leaving durable process documentation.Familiarity with SIPRNet collaboration, OPSEC, and handling of classified / CUI / PPBE data.Tools such as Python, R, MATLAB, Julia, or equivalent; optimization solvers; discrete-event or combat simulation; and standard Navy briefing products.Experience briefing O-6 / flag / SES audiences.Work EnvironmentPrimary workplace: COMSUBGRU TWO, 1430 Mitscher Avenue, Norfolk, VA 23551 (NSA Hampton Roads).Classification: work up to TOP SECRET / SCI; incidental TS/SCI research into models; meetings at TS/SCI; NATO information access.Government intends to provide NIPR and SIPR access on site. Contractor provides personal analytic tools unless otherwise furnished.Travel is not part of this task. Other direct costs are not authorized.Analysis, methods, algorithms, code, and data developed on contract become U.S. Government property.Compensation and BenefitsFinal Compensation is based on Education and Experience.Compensation is competitive for a TS/SCI, on-site Navy warfighting OR seat in Hampton Roads and is commensurate with education, clearance, and directly relevant experience. Heartland typically provides:Health, dental, and vision insurance401(k) with company matchPaid time off and paid federal holidaysSupport for professional affiliations (MORS, INFORMS) when mission allowsFinal offer depends on qualifications, clearance currency, and start-date availability. Target start is aligned to contract award / 29 September 2026, with an earlier overlap preferred so the outgoing analyst can conduct a structured turnover.How to ApplyApply HERE to this job posting, orEmail a résumé (PDF) and a one-page letter that maps your education and ten-year Navy-warfighting OR experience to the required skill list above. State clearance level, investigation date or last PR date if known, and earliest start date.Apply: line: Senior OR Analyst - COMSUBGRU TWO TUSWC - Last Name Website: citizens only. Heartland Consulting is a Veteran-Owned Small Business and an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. This position requires an active U.S. security clearance; clearance eligibility is a bona fide occupational qualification.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems is seeking a Staff Software Signal Processing Engineer to join our team supporting a radar program in Colorado Springs, Colorado. In this staff-level role, you will provide technical leadership for the development of advanced radar digital signal processing software in support of identification and tracking of objects in geosynchronous orbit. You will act as a senior technical authority for radar DSP software-guiding architecture, design decisions, and implementation approaches across the team-while remaining hands-on with code and technical problem solving. Job responsibilities will include, but are not limited to, the following: Serve as a technical leader and subject-matter expert for radar digital signal processing software, providing guidance on system architecture, algorithm selection, implementation strategies, and performance optimization. Design, develop, document, test, and debug complex applications software and software systems that contain logical and mathematical solutions, with particular emphasis on high performance radar DSP pipelines. Lead multidisciplinary research and collaborate closely with systems, hardware, and equipment designers to plan, design, develop, and utilize electronic data processing systems for mission and product software. Work with stakeholders to determine computer user and mission needs; analyze system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques, and controls; prepare operating instructions and technical documentation. Guide the design and development of compilers, utility programs, and/or supporting infrastructure where needed to enable scalable signal processing workflows. Provide mentorship and technical direction to other engineers, including code reviews, design reviews, and coaching on best practices for performance, reliability, and maintainability. Demonstrated experience developing and optimizing radar signal processing algorithms and pipelines (DSP), including use of common engineering toolchains such as DSP System Toolbox / Signal Processing Toolbox / Phased Array System toolsets. Demonstrated experience with GPGPU acceleration (e.g., CUDA) for performance critical signal processing and/or analytics workloads, including profiling, optimization, and balancing CPU/GPU resources. Experience using AI enabled engineering tooling (e.g., an AI coding assistant) to accelerate development tasks such as code explanation, refactoring, and test generation-while maintaining clear engineer accountability for reviewed code and technical decisions. Basic Qualifications: Must have an active U.S. Government Secret security clearance at time of application, current and within scope. Demonstrated proficiency with C++, Java, Python, and CUDA, including application to performance critical workloads. Experience with Linux development environments. Experience with RF signal processing and radar DSP concepts. Experience with GPU optimization for real time or near real time processing. Experience with NVIDIA MatX or similar high performance numerical libraries. Experience leveraging AI tooling for software development workflows. Experience with high-side development and processes, including secure environments and appropriate handling of classified data. Preferred Qualifications: Able to explain how to process a radar signal to generate a Range-Doppler Map. Describe the process of using a sparse array to accomplish beamforming. Discuss the concept of loss budgets and system tradeoffs. Explain the application of calibration for a distributed system. C++ expertise: Strong knowledge of real time processing, current C++ standards, and modern C++ techniques and patterns for high performance, maintainable code. CUDA expertise: Deep understanding of the benefits and constraints of running signal processing code on GPGPUs; familiarity with cuFFT and/or cuSignal; experience with MatX preferred but not required. Functional familiarity with Matlab and Python for signal processing, prototyping, and data analysis. Self starter and technical leader: Able to take minimal direction, quickly learn complex systems, and independently drive solutions. Approaches every story with the broader system in mind-identifying defects, optimizations, and architectural implications along the way. Comfortable influencing designs across teams and defending technical decisions to stakeholders. Experience writing and implementing signal processing algorithms is expected; at the staff level, candidates should additionally demonstrate the ability to own system level DSP architectures, make trade studies, and lead others in implementing robust, scalable solutions. Primary Level Salary Range: $161,000.00 - $241,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/18/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems is seeking a Staff Software Signal Processing Engineer to join our team supporting a radar program in Colorado Springs, Colorado. In this staff-level role, you will provide technical leadership for the development of advanced radar digital signal processing software in support of identification and tracking of objects in geosynchronous orbit. You will act as a senior technical authority for radar DSP software-guiding architecture, design decisions, and implementation approaches across the team-while remaining hands-on with code and technical problem solving. Job responsibilities will include, but are not limited to, the following: Serve as a technical leader and subject-matter expert for radar digital signal processing software, providing guidance on system architecture, algorithm selection, implementation strategies, and performance optimization. Design, develop, document, test, and debug complex applications software and software systems that contain logical and mathematical solutions, with particular emphasis on high performance radar DSP pipelines. Lead multidisciplinary research and collaborate closely with systems, hardware, and equipment designers to plan, design, develop, and utilize electronic data processing systems for mission and product software. Work with stakeholders to determine computer user and mission needs; analyze system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques, and controls; prepare operating instructions and technical documentation. Guide the design and development of compilers, utility programs, and/or supporting infrastructure where needed to enable scalable signal processing workflows. Provide mentorship and technical direction to other engineers, including code reviews, design reviews, and coaching on best practices for performance, reliability, and maintainability. Demonstrated experience developing and optimizing radar signal processing algorithms and pipelines (DSP), including use of common engineering toolchains such as DSP System Toolbox / Signal Processing Toolbox / Phased Array System toolsets. Demonstrated experience with GPGPU acceleration (e.g., CUDA) for performance critical signal processing and/or analytics workloads, including profiling, optimization, and balancing CPU/GPU resources. Experience using AI enabled engineering tooling (e.g., an AI coding assistant) to accelerate development tasks such as code explanation, refactoring, and test generation-while maintaining clear engineer accountability for reviewed code and technical decisions. Basic Qualifications: Must have an active U.S. Government Secret security clearance at time of application, current and within scope. Demonstrated proficiency with C++, Java, Python, and CUDA, including application to performance critical workloads. Experience with Linux development environments. Experience with RF signal processing and radar DSP concepts. Experience with GPU optimization for real time or near real time processing. Experience with NVIDIA MatX or similar high performance numerical libraries. Experience leveraging AI tooling for software development workflows. Experience with high-side development and processes, including secure environments and appropriate handling of classified data. Preferred Qualifications: Able to explain how to process a radar signal to generate a Range-Doppler Map. Describe the process of using a sparse array to accomplish beamforming. Discuss the concept of loss budgets and system tradeoffs. Explain the application of calibration for a distributed system. C++ expertise: Strong knowledge of real time processing, current C++ standards, and modern C++ techniques and patterns for high performance, maintainable code. CUDA expertise: Deep understanding of the benefits and constraints of running signal processing code on GPGPUs; familiarity with cuFFT and/or cuSignal; experience with MatX preferred but not required. Functional familiarity with Matlab and Python for signal processing, prototyping, and data analysis. Self starter and technical leader: Able to take minimal direction, quickly learn complex systems, and independently drive solutions. Approaches every story with the broader system in mind-identifying defects, optimizations, and architectural implications along the way. Comfortable influencing designs across teams and defending technical decisions to stakeholders. Experience writing and implementing signal processing algorithms is expected; at the staff level, candidates should additionally demonstrate the ability to own system level DSP architectures, make trade studies, and lead others in implementing robust, scalable solutions. Primary Level Salary Range: $161,000.00 - $241,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. The Advanced EOIR team anticipates a near-term need for a Senior Staff Systems Engineer to work as the Technical Lead/Principal Investigator in performing algorithm concept and development work related to advanced electro-optical and infrared (EO/IR) sensing. As the lead of this team, you will guide the team in sensor modeling, signal/image processing, concept development/refinement, customer/sponsor engagement, and AI/ML algorithm development. The team is focused on researching solutions for emerging sensors and mission areas, and as a result of these successes, we have a need for more staff to support the growing range of programs supported. Come join us for this 100% on-site position from Linthicum, MD! What You'll Get To Do: The AEOIR business area has a rapidly growing set of efforts related to EOIR-based concept development, algorithm development, and signal exploitation. These programs span a range of modalities, but share a common theme of developing new techniques to solve challenging problems. As a technical lead, you will guide a diverse team of physicists, systems engineer, signal processing engineers, and AI/ML engineers in developing novel EOIR sensor capabilities and evaluating the performance of these techniques. You will also perform direct technical work to advance the needs for the group. You will develop concepts for novel EO/IR sensors and develop cutting-edge algorithms to meet emerging mission needs. You will analyze data collected from some of the most advanced sensors ever fielded and generate representative synthetic data using high-fidelity, physics-based models. You will lead interactions with external customers and internal leaders, building trust through communicating the technical achievements and capabilities of the group. You will set the technical vision for the group, defining roadmaps and developing internal R&D plans to create and mature novel technologies. A strong candidate for this role has experience in airborne and/or space-based EOIR sensors, experience developing and implementing algorithms, experience leading teams to successful program execution, and strength in customer engagements. Roles and Responsibilities: Lead technical execution of R&D programs Mentor and develop junior team members Develop, integrate, test, and deploy novel EOIR-centric algorithms Build and maintain physics-based sensor models Develop and quantify performance metrics for system performance Understand data quality and artifact impacts Represent system performance in functional and analytical models This position is contingent upon the successful transfer of an active U.S. Government Secret Clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's Degree with 14 years of experience, a master's degree with 12 years of experience, or a PhD with 10 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S. Government Secret Clearance Ability to obtain Special Program Access (SAP) Experience as a team lead with successful customer interactions Experience leading junior and peer team members Experience in technical computing languages, e.g. Python or Matlab Experience with airborne and/or space-based EOIR sensors Experience with Physics-based understanding of detection methods for various phenomenologies Preferred Qualifications: Advanced degree in STEM Experience writing technical proposals Experience acting as principal investigator of team lead for R&D programs Experience developing and executing internal research and development projects Current Top Secret clearance, SAP access(es), and/or SCI access Strong communication skills, both for internal and external audiences Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $184,100.00 - $276,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/18/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. The Advanced EOIR team anticipates a near-term need for a Senior Staff Systems Engineer to work as the Technical Lead/Principal Investigator in performing algorithm concept and development work related to advanced electro-optical and infrared (EO/IR) sensing. As the lead of this team, you will guide the team in sensor modeling, signal/image processing, concept development/refinement, customer/sponsor engagement, and AI/ML algorithm development. The team is focused on researching solutions for emerging sensors and mission areas, and as a result of these successes, we have a need for more staff to support the growing range of programs supported. Come join us for this 100% on-site position from Linthicum, MD! What You'll Get To Do: The AEOIR business area has a rapidly growing set of efforts related to EOIR-based concept development, algorithm development, and signal exploitation. These programs span a range of modalities, but share a common theme of developing new techniques to solve challenging problems. As a technical lead, you will guide a diverse team of physicists, systems engineer, signal processing engineers, and AI/ML engineers in developing novel EOIR sensor capabilities and evaluating the performance of these techniques. You will also perform direct technical work to advance the needs for the group. You will develop concepts for novel EO/IR sensors and develop cutting-edge algorithms to meet emerging mission needs. You will analyze data collected from some of the most advanced sensors ever fielded and generate representative synthetic data using high-fidelity, physics-based models. You will lead interactions with external customers and internal leaders, building trust through communicating the technical achievements and capabilities of the group. You will set the technical vision for the group, defining roadmaps and developing internal R&D plans to create and mature novel technologies. A strong candidate for this role has experience in airborne and/or space-based EOIR sensors, experience developing and implementing algorithms, experience leading teams to successful program execution, and strength in customer engagements. Roles and Responsibilities: Lead technical execution of R&D programs Mentor and develop junior team members Develop, integrate, test, and deploy novel EOIR-centric algorithms Build and maintain physics-based sensor models Develop and quantify performance metrics for system performance Understand data quality and artifact impacts Represent system performance in functional and analytical models This position is contingent upon the successful transfer of an active U.S. Government Secret Clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's Degree with 14 years of experience, a master's degree with 12 years of experience, or a PhD with 10 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S. Government Secret Clearance Ability to obtain Special Program Access (SAP) Experience as a team lead with successful customer interactions Experience leading junior and peer team members Experience in technical computing languages, e.g. Python or Matlab Experience with airborne and/or space-based EOIR sensors Experience with Physics-based understanding of detection methods for various phenomenologies Preferred Qualifications: Advanced degree in STEM Experience writing technical proposals Experience acting as principal investigator of team lead for R&D programs Experience developing and executing internal research and development projects Current Top Secret clearance, SAP access(es), and/or SCI access Strong communication skills, both for internal and external audiences Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $184,100.00 - $276,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Job Description Job Description NOW HIRING ON-SITE FULL TIMESenior Operations Research AnalystNavy Warfighting Analysis Theater Undersea Warfare Norfolk, VALocationClearanceScheduleTravelNSA Hampton Roads / Naval Station Norfolk (on-site)Active Top Secret / SCI required at startFull-timeNone requiredAbout the RoleHeartland Consulting is hiring a Senior Operations Research Analyst to sit on-site with Commander, Submarine Group Two (COMSUBGRU TWO) in its role as Theater Undersea Warfare Commander (TUSWC) for U.S. Second Fleet. The analyst is the command's embedded OA/OR capability - the person who finds where analysis can improve TUSWC planning, builds the methods, trains the staff to use them, and leaves behind documented processes the watch floor can run without the contractor in the room.This is not a remote study contract and not a generic "data analyst" seat. You will work in a classified Navy staff environment, handle operational data, brief seniors (including flag-level audiences), and institutionalize operations-analysis methods for maritime homeland defense and theater undersea warfare.Heartland is the incumbent on this effort. The current analyst is in the seat today. We are recruiting the successor now so the command has a clean, qualified handoff and no gap in on-site support.What You Will DoProvide on-site operations analysis / operations research support to the TUSWC staff at COMSUBGRU TWO.Identify opportunities to insert OA/OR into the TUSWC planning process and improve operational effectiveness.Collect, clean, manage, and employ operational datasets for trend analysis and predictive analytics.Formulate and solve optimization problems (linear, nonlinear, network, and integer programming) that inform planning choices.Build and use stochastic models (Markov chains, Poisson processes, queueing, renewal processes) and simulation with design-of-experiments techniques.Apply systems analysis, including risk-benefit and cost-benefit analysis, to deployment, requirements, and course-of-action questions.Employ OA/OR tools in live TUSWC planning and operations - not only after-action studies.Develop and document methods, processes, and procedures the TUSWC staff can implement.Train TUSWC staff on those methods and leave behind usable SOPs, briefs, and implementation products.Liaise with other TUSWC staffs, OA/OR subject-matter experts, and tool developers.Deliver the contract products: OA/OR Support Plan Brief (30 days after award), monthly progress and financial status reports, interim progress reviews, a final annotated brief, and a Final OA/OR Implementation Plan.Brief results independently, in writing and orally, including annotated PowerPoint for senior leadership with read-aheads.Required QualificationsThese are the contract minimums. Candidates who do not meet them cannot be placed on this task.Education: Bachelor's degree in Operations Research or Operations Analysis. (The contract is specific - related degrees such as mathematics, statistics, or engineering do not substitute for this requirement.)Preferred: Master of Science in Operations Research or Operations Analysis (NPS Curriculum 360 / 355 or civilian equivalent).Experience: Ten (10) years applying operations research / operations analysis to Navy warfighting analysis.Demonstrated skill in mathematics and computation, including programming for complex analysis, algorithm development, and simulation.Demonstrated skill in data preparation (collect, clean, manipulate) and statistical / probability analysis of decision problems.Demonstrated skill in optimization, stochastic modeling, simulation with design of experiments, and systems analysis.Proven ability to conduct independent analysis and present results orally and in writing to operational customers.Clearance: Active Top Secret / SCI. U.S. citizenship required. Ability to obtain NATO briefings after hire. Must be eligible for a DISS Visit Access Request to COMSUBGRU TWO.Ability to work full-time on-site at NSA Hampton Roads / Naval Station Norfolk (Building NH-13 / TUSWC spaces). No remote option for this seat.Desired QualificationsNavy 3211P / 3211Q operations-analysis subspecialty, or equivalent civilian utilization tour at a Fleet, TYCOM, numbered-fleet, OPNAV N81, UWDC Tactical Analysis Group, CNA field, NUWC, or TUSWC staff.Direct undersea warfare, theater ASW, maritime homeland defense, or submarine-force staff experience.Prior on-site embed at a Navy operational staff (not only laboratory or headquarters studies).Experience training operators or staff officers on analytic methods and leaving durable process documentation.Familiarity with SIPRNet collaboration, OPSEC, and handling of classified / CUI / PPBE data.Tools such as Python, R, MATLAB, Julia, or equivalent; optimization solvers; discrete-event or combat simulation; and standard Navy briefing products.Experience briefing O-6 / flag / SES audiences.Work EnvironmentPrimary workplace: COMSUBGRU TWO, 1430 Mitscher Avenue, Norfolk, VA 23551 (NSA Hampton Roads).Classification: work up to TOP SECRET / SCI; incidental TS/SCI research into models; meetings at TS/SCI; NATO information access.Government intends to provide NIPR and SIPR access on site. Contractor provides personal analytic tools unless otherwise furnished.Travel is not part of this task. Other direct costs are not authorized.Analysis, methods, algorithms, code, and data developed on contract become U.S. Government property.Compensation and BenefitsFinal Compensation is based on Education and Experience.Compensation is competitive for a TS/SCI, on-site Navy warfighting OR seat in Hampton Roads and is commensurate with education, clearance, and directly relevant experience. Heartland typically provides:Health, dental, and vision insurance401(k) with company matchPaid time off and paid federal holidaysSupport for professional affiliations (MORS, INFORMS) when mission allowsFinal offer depends on qualifications, clearance currency, and start-date availability. Target start is aligned to contract award / 29 September 2026, with an earlier overlap preferred so the outgoing analyst can conduct a structured turnover.How to ApplyApply HERE to this job posting, orEmail a résumé (PDF) and a one-page letter that maps your education and ten-year Navy-warfighting OR experience to the required skill list above. State clearance level, investigation date or last PR date if known, and earliest start date.Apply: line: Senior OR Analyst - COMSUBGRU TWO TUSWC - Last Name Website: citizens only. Heartland Consulting is a Veteran-Owned Small Business and an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. This position requires an active U.S. security clearance; clearance eligibility is a bona fide occupational qualification.
09/16/2026
Full time
Job Description Job Description NOW HIRING ON-SITE FULL TIMESenior Operations Research AnalystNavy Warfighting Analysis Theater Undersea Warfare Norfolk, VALocationClearanceScheduleTravelNSA Hampton Roads / Naval Station Norfolk (on-site)Active Top Secret / SCI required at startFull-timeNone requiredAbout the RoleHeartland Consulting is hiring a Senior Operations Research Analyst to sit on-site with Commander, Submarine Group Two (COMSUBGRU TWO) in its role as Theater Undersea Warfare Commander (TUSWC) for U.S. Second Fleet. The analyst is the command's embedded OA/OR capability - the person who finds where analysis can improve TUSWC planning, builds the methods, trains the staff to use them, and leaves behind documented processes the watch floor can run without the contractor in the room.This is not a remote study contract and not a generic "data analyst" seat. You will work in a classified Navy staff environment, handle operational data, brief seniors (including flag-level audiences), and institutionalize operations-analysis methods for maritime homeland defense and theater undersea warfare.Heartland is the incumbent on this effort. The current analyst is in the seat today. We are recruiting the successor now so the command has a clean, qualified handoff and no gap in on-site support.What You Will DoProvide on-site operations analysis / operations research support to the TUSWC staff at COMSUBGRU TWO.Identify opportunities to insert OA/OR into the TUSWC planning process and improve operational effectiveness.Collect, clean, manage, and employ operational datasets for trend analysis and predictive analytics.Formulate and solve optimization problems (linear, nonlinear, network, and integer programming) that inform planning choices.Build and use stochastic models (Markov chains, Poisson processes, queueing, renewal processes) and simulation with design-of-experiments techniques.Apply systems analysis, including risk-benefit and cost-benefit analysis, to deployment, requirements, and course-of-action questions.Employ OA/OR tools in live TUSWC planning and operations - not only after-action studies.Develop and document methods, processes, and procedures the TUSWC staff can implement.Train TUSWC staff on those methods and leave behind usable SOPs, briefs, and implementation products.Liaise with other TUSWC staffs, OA/OR subject-matter experts, and tool developers.Deliver the contract products: OA/OR Support Plan Brief (30 days after award), monthly progress and financial status reports, interim progress reviews, a final annotated brief, and a Final OA/OR Implementation Plan.Brief results independently, in writing and orally, including annotated PowerPoint for senior leadership with read-aheads.Required QualificationsThese are the contract minimums. Candidates who do not meet them cannot be placed on this task.Education: Bachelor's degree in Operations Research or Operations Analysis. (The contract is specific - related degrees such as mathematics, statistics, or engineering do not substitute for this requirement.)Preferred: Master of Science in Operations Research or Operations Analysis (NPS Curriculum 360 / 355 or civilian equivalent).Experience: Ten (10) years applying operations research / operations analysis to Navy warfighting analysis.Demonstrated skill in mathematics and computation, including programming for complex analysis, algorithm development, and simulation.Demonstrated skill in data preparation (collect, clean, manipulate) and statistical / probability analysis of decision problems.Demonstrated skill in optimization, stochastic modeling, simulation with design of experiments, and systems analysis.Proven ability to conduct independent analysis and present results orally and in writing to operational customers.Clearance: Active Top Secret / SCI. U.S. citizenship required. Ability to obtain NATO briefings after hire. Must be eligible for a DISS Visit Access Request to COMSUBGRU TWO.Ability to work full-time on-site at NSA Hampton Roads / Naval Station Norfolk (Building NH-13 / TUSWC spaces). No remote option for this seat.Desired QualificationsNavy 3211P / 3211Q operations-analysis subspecialty, or equivalent civilian utilization tour at a Fleet, TYCOM, numbered-fleet, OPNAV N81, UWDC Tactical Analysis Group, CNA field, NUWC, or TUSWC staff.Direct undersea warfare, theater ASW, maritime homeland defense, or submarine-force staff experience.Prior on-site embed at a Navy operational staff (not only laboratory or headquarters studies).Experience training operators or staff officers on analytic methods and leaving durable process documentation.Familiarity with SIPRNet collaboration, OPSEC, and handling of classified / CUI / PPBE data.Tools such as Python, R, MATLAB, Julia, or equivalent; optimization solvers; discrete-event or combat simulation; and standard Navy briefing products.Experience briefing O-6 / flag / SES audiences.Work EnvironmentPrimary workplace: COMSUBGRU TWO, 1430 Mitscher Avenue, Norfolk, VA 23551 (NSA Hampton Roads).Classification: work up to TOP SECRET / SCI; incidental TS/SCI research into models; meetings at TS/SCI; NATO information access.Government intends to provide NIPR and SIPR access on site. Contractor provides personal analytic tools unless otherwise furnished.Travel is not part of this task. Other direct costs are not authorized.Analysis, methods, algorithms, code, and data developed on contract become U.S. Government property.Compensation and BenefitsFinal Compensation is based on Education and Experience.Compensation is competitive for a TS/SCI, on-site Navy warfighting OR seat in Hampton Roads and is commensurate with education, clearance, and directly relevant experience. Heartland typically provides:Health, dental, and vision insurance401(k) with company matchPaid time off and paid federal holidaysSupport for professional affiliations (MORS, INFORMS) when mission allowsFinal offer depends on qualifications, clearance currency, and start-date availability. Target start is aligned to contract award / 29 September 2026, with an earlier overlap preferred so the outgoing analyst can conduct a structured turnover.How to ApplyApply HERE to this job posting, orEmail a résumé (PDF) and a one-page letter that maps your education and ten-year Navy-warfighting OR experience to the required skill list above. State clearance level, investigation date or last PR date if known, and earliest start date.Apply: line: Senior OR Analyst - COMSUBGRU TWO TUSWC - Last Name Website: citizens only. Heartland Consulting is a Veteran-Owned Small Business and an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. This position requires an active U.S. security clearance; clearance eligibility is a bona fide occupational qualification.
Job Description Job Description NOW HIRING ON-SITE FULL TIMESenior Operations Research AnalystNavy Warfighting Analysis Theater Undersea Warfare Norfolk, VALocationClearanceScheduleTravelNSA Hampton Roads / Naval Station Norfolk (on-site)Active Top Secret / SCI required at startFull-timeNone requiredAbout the RoleHeartland Consulting is hiring a Senior Operations Research Analyst to sit on-site with Commander, Submarine Group Two (COMSUBGRU TWO) in its role as Theater Undersea Warfare Commander (TUSWC) for U.S. Second Fleet. The analyst is the command's embedded OA/OR capability - the person who finds where analysis can improve TUSWC planning, builds the methods, trains the staff to use them, and leaves behind documented processes the watch floor can run without the contractor in the room.This is not a remote study contract and not a generic "data analyst" seat. You will work in a classified Navy staff environment, handle operational data, brief seniors (including flag-level audiences), and institutionalize operations-analysis methods for maritime homeland defense and theater undersea warfare.Heartland is the incumbent on this effort. The current analyst is in the seat today. We are recruiting the successor now so the command has a clean, qualified handoff and no gap in on-site support.What You Will DoProvide on-site operations analysis / operations research support to the TUSWC staff at COMSUBGRU TWO.Identify opportunities to insert OA/OR into the TUSWC planning process and improve operational effectiveness.Collect, clean, manage, and employ operational datasets for trend analysis and predictive analytics.Formulate and solve optimization problems (linear, nonlinear, network, and integer programming) that inform planning choices.Build and use stochastic models (Markov chains, Poisson processes, queueing, renewal processes) and simulation with design-of-experiments techniques.Apply systems analysis, including risk-benefit and cost-benefit analysis, to deployment, requirements, and course-of-action questions.Employ OA/OR tools in live TUSWC planning and operations - not only after-action studies.Develop and document methods, processes, and procedures the TUSWC staff can implement.Train TUSWC staff on those methods and leave behind usable SOPs, briefs, and implementation products.Liaise with other TUSWC staffs, OA/OR subject-matter experts, and tool developers.Deliver the contract products: OA/OR Support Plan Brief (30 days after award), monthly progress and financial status reports, interim progress reviews, a final annotated brief, and a Final OA/OR Implementation Plan.Brief results independently, in writing and orally, including annotated PowerPoint for senior leadership with read-aheads.Required QualificationsThese are the contract minimums. Candidates who do not meet them cannot be placed on this task.Education: Bachelor's degree in Operations Research or Operations Analysis. (The contract is specific - related degrees such as mathematics, statistics, or engineering do not substitute for this requirement.)Preferred: Master of Science in Operations Research or Operations Analysis (NPS Curriculum 360 / 355 or civilian equivalent).Experience: Ten (10) years applying operations research / operations analysis to Navy warfighting analysis.Demonstrated skill in mathematics and computation, including programming for complex analysis, algorithm development, and simulation.Demonstrated skill in data preparation (collect, clean, manipulate) and statistical / probability analysis of decision problems.Demonstrated skill in optimization, stochastic modeling, simulation with design of experiments, and systems analysis.Proven ability to conduct independent analysis and present results orally and in writing to operational customers.Clearance: Active Top Secret / SCI. U.S. citizenship required. Ability to obtain NATO briefings after hire. Must be eligible for a DISS Visit Access Request to COMSUBGRU TWO.Ability to work full-time on-site at NSA Hampton Roads / Naval Station Norfolk (Building NH-13 / TUSWC spaces). No remote option for this seat.Desired QualificationsNavy 3211P / 3211Q operations-analysis subspecialty, or equivalent civilian utilization tour at a Fleet, TYCOM, numbered-fleet, OPNAV N81, UWDC Tactical Analysis Group, CNA field, NUWC, or TUSWC staff.Direct undersea warfare, theater ASW, maritime homeland defense, or submarine-force staff experience.Prior on-site embed at a Navy operational staff (not only laboratory or headquarters studies).Experience training operators or staff officers on analytic methods and leaving durable process documentation.Familiarity with SIPRNet collaboration, OPSEC, and handling of classified / CUI / PPBE data.Tools such as Python, R, MATLAB, Julia, or equivalent; optimization solvers; discrete-event or combat simulation; and standard Navy briefing products.Experience briefing O-6 / flag / SES audiences.Work EnvironmentPrimary workplace: COMSUBGRU TWO, 1430 Mitscher Avenue, Norfolk, VA 23551 (NSA Hampton Roads).Classification: work up to TOP SECRET / SCI; incidental TS/SCI research into models; meetings at TS/SCI; NATO information access.Government intends to provide NIPR and SIPR access on site. Contractor provides personal analytic tools unless otherwise furnished.Travel is not part of this task. Other direct costs are not authorized.Analysis, methods, algorithms, code, and data developed on contract become U.S. Government property.Compensation and BenefitsFinal Compensation is based on Education and Experience.Compensation is competitive for a TS/SCI, on-site Navy warfighting OR seat in Hampton Roads and is commensurate with education, clearance, and directly relevant experience. Heartland typically provides:Health, dental, and vision insurance401(k) with company matchPaid time off and paid federal holidaysSupport for professional affiliations (MORS, INFORMS) when mission allowsFinal offer depends on qualifications, clearance currency, and start-date availability. Target start is aligned to contract award / 29 September 2026, with an earlier overlap preferred so the outgoing analyst can conduct a structured turnover.How to ApplyApply HERE to this job posting, orEmail a résumé (PDF) and a one-page letter that maps your education and ten-year Navy-warfighting OR experience to the required skill list above. State clearance level, investigation date or last PR date if known, and earliest start date.Apply: line: Senior OR Analyst - COMSUBGRU TWO TUSWC - Last Name Website: citizens only. Heartland Consulting is a Veteran-Owned Small Business and an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. This position requires an active U.S. security clearance; clearance eligibility is a bona fide occupational qualification.
09/16/2026
Full time
Job Description Job Description NOW HIRING ON-SITE FULL TIMESenior Operations Research AnalystNavy Warfighting Analysis Theater Undersea Warfare Norfolk, VALocationClearanceScheduleTravelNSA Hampton Roads / Naval Station Norfolk (on-site)Active Top Secret / SCI required at startFull-timeNone requiredAbout the RoleHeartland Consulting is hiring a Senior Operations Research Analyst to sit on-site with Commander, Submarine Group Two (COMSUBGRU TWO) in its role as Theater Undersea Warfare Commander (TUSWC) for U.S. Second Fleet. The analyst is the command's embedded OA/OR capability - the person who finds where analysis can improve TUSWC planning, builds the methods, trains the staff to use them, and leaves behind documented processes the watch floor can run without the contractor in the room.This is not a remote study contract and not a generic "data analyst" seat. You will work in a classified Navy staff environment, handle operational data, brief seniors (including flag-level audiences), and institutionalize operations-analysis methods for maritime homeland defense and theater undersea warfare.Heartland is the incumbent on this effort. The current analyst is in the seat today. We are recruiting the successor now so the command has a clean, qualified handoff and no gap in on-site support.What You Will DoProvide on-site operations analysis / operations research support to the TUSWC staff at COMSUBGRU TWO.Identify opportunities to insert OA/OR into the TUSWC planning process and improve operational effectiveness.Collect, clean, manage, and employ operational datasets for trend analysis and predictive analytics.Formulate and solve optimization problems (linear, nonlinear, network, and integer programming) that inform planning choices.Build and use stochastic models (Markov chains, Poisson processes, queueing, renewal processes) and simulation with design-of-experiments techniques.Apply systems analysis, including risk-benefit and cost-benefit analysis, to deployment, requirements, and course-of-action questions.Employ OA/OR tools in live TUSWC planning and operations - not only after-action studies.Develop and document methods, processes, and procedures the TUSWC staff can implement.Train TUSWC staff on those methods and leave behind usable SOPs, briefs, and implementation products.Liaise with other TUSWC staffs, OA/OR subject-matter experts, and tool developers.Deliver the contract products: OA/OR Support Plan Brief (30 days after award), monthly progress and financial status reports, interim progress reviews, a final annotated brief, and a Final OA/OR Implementation Plan.Brief results independently, in writing and orally, including annotated PowerPoint for senior leadership with read-aheads.Required QualificationsThese are the contract minimums. Candidates who do not meet them cannot be placed on this task.Education: Bachelor's degree in Operations Research or Operations Analysis. (The contract is specific - related degrees such as mathematics, statistics, or engineering do not substitute for this requirement.)Preferred: Master of Science in Operations Research or Operations Analysis (NPS Curriculum 360 / 355 or civilian equivalent).Experience: Ten (10) years applying operations research / operations analysis to Navy warfighting analysis.Demonstrated skill in mathematics and computation, including programming for complex analysis, algorithm development, and simulation.Demonstrated skill in data preparation (collect, clean, manipulate) and statistical / probability analysis of decision problems.Demonstrated skill in optimization, stochastic modeling, simulation with design of experiments, and systems analysis.Proven ability to conduct independent analysis and present results orally and in writing to operational customers.Clearance: Active Top Secret / SCI. U.S. citizenship required. Ability to obtain NATO briefings after hire. Must be eligible for a DISS Visit Access Request to COMSUBGRU TWO.Ability to work full-time on-site at NSA Hampton Roads / Naval Station Norfolk (Building NH-13 / TUSWC spaces). No remote option for this seat.Desired QualificationsNavy 3211P / 3211Q operations-analysis subspecialty, or equivalent civilian utilization tour at a Fleet, TYCOM, numbered-fleet, OPNAV N81, UWDC Tactical Analysis Group, CNA field, NUWC, or TUSWC staff.Direct undersea warfare, theater ASW, maritime homeland defense, or submarine-force staff experience.Prior on-site embed at a Navy operational staff (not only laboratory or headquarters studies).Experience training operators or staff officers on analytic methods and leaving durable process documentation.Familiarity with SIPRNet collaboration, OPSEC, and handling of classified / CUI / PPBE data.Tools such as Python, R, MATLAB, Julia, or equivalent; optimization solvers; discrete-event or combat simulation; and standard Navy briefing products.Experience briefing O-6 / flag / SES audiences.Work EnvironmentPrimary workplace: COMSUBGRU TWO, 1430 Mitscher Avenue, Norfolk, VA 23551 (NSA Hampton Roads).Classification: work up to TOP SECRET / SCI; incidental TS/SCI research into models; meetings at TS/SCI; NATO information access.Government intends to provide NIPR and SIPR access on site. Contractor provides personal analytic tools unless otherwise furnished.Travel is not part of this task. Other direct costs are not authorized.Analysis, methods, algorithms, code, and data developed on contract become U.S. Government property.Compensation and BenefitsFinal Compensation is based on Education and Experience.Compensation is competitive for a TS/SCI, on-site Navy warfighting OR seat in Hampton Roads and is commensurate with education, clearance, and directly relevant experience. Heartland typically provides:Health, dental, and vision insurance401(k) with company matchPaid time off and paid federal holidaysSupport for professional affiliations (MORS, INFORMS) when mission allowsFinal offer depends on qualifications, clearance currency, and start-date availability. Target start is aligned to contract award / 29 September 2026, with an earlier overlap preferred so the outgoing analyst can conduct a structured turnover.How to ApplyApply HERE to this job posting, orEmail a résumé (PDF) and a one-page letter that maps your education and ten-year Navy-warfighting OR experience to the required skill list above. State clearance level, investigation date or last PR date if known, and earliest start date.Apply: line: Senior OR Analyst - COMSUBGRU TWO TUSWC - Last Name Website: citizens only. Heartland Consulting is a Veteran-Owned Small Business and an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. This position requires an active U.S. security clearance; clearance eligibility is a bona fide occupational qualification.
Job Description Job Description NOW HIRING ON-SITE FULL TIMESenior Operations Research AnalystNavy Warfighting Analysis Theater Undersea Warfare Norfolk, VALocationClearanceScheduleTravelNSA Hampton Roads / Naval Station Norfolk (on-site)Active Top Secret / SCI required at startFull-timeNone requiredAbout the RoleHeartland Consulting is hiring a Senior Operations Research Analyst to sit on-site with Commander, Submarine Group Two (COMSUBGRU TWO) in its role as Theater Undersea Warfare Commander (TUSWC) for U.S. Second Fleet. The analyst is the command's embedded OA/OR capability - the person who finds where analysis can improve TUSWC planning, builds the methods, trains the staff to use them, and leaves behind documented processes the watch floor can run without the contractor in the room.This is not a remote study contract and not a generic "data analyst" seat. You will work in a classified Navy staff environment, handle operational data, brief seniors (including flag-level audiences), and institutionalize operations-analysis methods for maritime homeland defense and theater undersea warfare.Heartland is the incumbent on this effort. The current analyst is in the seat today. We are recruiting the successor now so the command has a clean, qualified handoff and no gap in on-site support.What You Will DoProvide on-site operations analysis / operations research support to the TUSWC staff at COMSUBGRU TWO.Identify opportunities to insert OA/OR into the TUSWC planning process and improve operational effectiveness.Collect, clean, manage, and employ operational datasets for trend analysis and predictive analytics.Formulate and solve optimization problems (linear, nonlinear, network, and integer programming) that inform planning choices.Build and use stochastic models (Markov chains, Poisson processes, queueing, renewal processes) and simulation with design-of-experiments techniques.Apply systems analysis, including risk-benefit and cost-benefit analysis, to deployment, requirements, and course-of-action questions.Employ OA/OR tools in live TUSWC planning and operations - not only after-action studies.Develop and document methods, processes, and procedures the TUSWC staff can implement.Train TUSWC staff on those methods and leave behind usable SOPs, briefs, and implementation products.Liaise with other TUSWC staffs, OA/OR subject-matter experts, and tool developers.Deliver the contract products: OA/OR Support Plan Brief (30 days after award), monthly progress and financial status reports, interim progress reviews, a final annotated brief, and a Final OA/OR Implementation Plan.Brief results independently, in writing and orally, including annotated PowerPoint for senior leadership with read-aheads.Required QualificationsThese are the contract minimums. Candidates who do not meet them cannot be placed on this task.Education: Bachelor's degree in Operations Research or Operations Analysis. (The contract is specific - related degrees such as mathematics, statistics, or engineering do not substitute for this requirement.)Preferred: Master of Science in Operations Research or Operations Analysis (NPS Curriculum 360 / 355 or civilian equivalent).Experience: Ten (10) years applying operations research / operations analysis to Navy warfighting analysis.Demonstrated skill in mathematics and computation, including programming for complex analysis, algorithm development, and simulation.Demonstrated skill in data preparation (collect, clean, manipulate) and statistical / probability analysis of decision problems.Demonstrated skill in optimization, stochastic modeling, simulation with design of experiments, and systems analysis.Proven ability to conduct independent analysis and present results orally and in writing to operational customers.Clearance: Active Top Secret / SCI. U.S. citizenship required. Ability to obtain NATO briefings after hire. Must be eligible for a DISS Visit Access Request to COMSUBGRU TWO.Ability to work full-time on-site at NSA Hampton Roads / Naval Station Norfolk (Building NH-13 / TUSWC spaces). No remote option for this seat.Desired QualificationsNavy 3211P / 3211Q operations-analysis subspecialty, or equivalent civilian utilization tour at a Fleet, TYCOM, numbered-fleet, OPNAV N81, UWDC Tactical Analysis Group, CNA field, NUWC, or TUSWC staff.Direct undersea warfare, theater ASW, maritime homeland defense, or submarine-force staff experience.Prior on-site embed at a Navy operational staff (not only laboratory or headquarters studies).Experience training operators or staff officers on analytic methods and leaving durable process documentation.Familiarity with SIPRNet collaboration, OPSEC, and handling of classified / CUI / PPBE data.Tools such as Python, R, MATLAB, Julia, or equivalent; optimization solvers; discrete-event or combat simulation; and standard Navy briefing products.Experience briefing O-6 / flag / SES audiences.Work EnvironmentPrimary workplace: COMSUBGRU TWO, 1430 Mitscher Avenue, Norfolk, VA 23551 (NSA Hampton Roads).Classification: work up to TOP SECRET / SCI; incidental TS/SCI research into models; meetings at TS/SCI; NATO information access.Government intends to provide NIPR and SIPR access on site. Contractor provides personal analytic tools unless otherwise furnished.Travel is not part of this task. Other direct costs are not authorized.Analysis, methods, algorithms, code, and data developed on contract become U.S. Government property.Compensation and BenefitsFinal Compensation is based on Education and Experience.Compensation is competitive for a TS/SCI, on-site Navy warfighting OR seat in Hampton Roads and is commensurate with education, clearance, and directly relevant experience. Heartland typically provides:Health, dental, and vision insurance401(k) with company matchPaid time off and paid federal holidaysSupport for professional affiliations (MORS, INFORMS) when mission allowsFinal offer depends on qualifications, clearance currency, and start-date availability. Target start is aligned to contract award / 29 September 2026, with an earlier overlap preferred so the outgoing analyst can conduct a structured turnover.How to ApplyApply HERE to this job posting, orEmail a résumé (PDF) and a one-page letter that maps your education and ten-year Navy-warfighting OR experience to the required skill list above. State clearance level, investigation date or last PR date if known, and earliest start date.Apply: line: Senior OR Analyst - COMSUBGRU TWO TUSWC - Last Name Website: citizens only. Heartland Consulting is a Veteran-Owned Small Business and an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. This position requires an active U.S. security clearance; clearance eligibility is a bona fide occupational qualification.
09/16/2026
Full time
Job Description Job Description NOW HIRING ON-SITE FULL TIMESenior Operations Research AnalystNavy Warfighting Analysis Theater Undersea Warfare Norfolk, VALocationClearanceScheduleTravelNSA Hampton Roads / Naval Station Norfolk (on-site)Active Top Secret / SCI required at startFull-timeNone requiredAbout the RoleHeartland Consulting is hiring a Senior Operations Research Analyst to sit on-site with Commander, Submarine Group Two (COMSUBGRU TWO) in its role as Theater Undersea Warfare Commander (TUSWC) for U.S. Second Fleet. The analyst is the command's embedded OA/OR capability - the person who finds where analysis can improve TUSWC planning, builds the methods, trains the staff to use them, and leaves behind documented processes the watch floor can run without the contractor in the room.This is not a remote study contract and not a generic "data analyst" seat. You will work in a classified Navy staff environment, handle operational data, brief seniors (including flag-level audiences), and institutionalize operations-analysis methods for maritime homeland defense and theater undersea warfare.Heartland is the incumbent on this effort. The current analyst is in the seat today. We are recruiting the successor now so the command has a clean, qualified handoff and no gap in on-site support.What You Will DoProvide on-site operations analysis / operations research support to the TUSWC staff at COMSUBGRU TWO.Identify opportunities to insert OA/OR into the TUSWC planning process and improve operational effectiveness.Collect, clean, manage, and employ operational datasets for trend analysis and predictive analytics.Formulate and solve optimization problems (linear, nonlinear, network, and integer programming) that inform planning choices.Build and use stochastic models (Markov chains, Poisson processes, queueing, renewal processes) and simulation with design-of-experiments techniques.Apply systems analysis, including risk-benefit and cost-benefit analysis, to deployment, requirements, and course-of-action questions.Employ OA/OR tools in live TUSWC planning and operations - not only after-action studies.Develop and document methods, processes, and procedures the TUSWC staff can implement.Train TUSWC staff on those methods and leave behind usable SOPs, briefs, and implementation products.Liaise with other TUSWC staffs, OA/OR subject-matter experts, and tool developers.Deliver the contract products: OA/OR Support Plan Brief (30 days after award), monthly progress and financial status reports, interim progress reviews, a final annotated brief, and a Final OA/OR Implementation Plan.Brief results independently, in writing and orally, including annotated PowerPoint for senior leadership with read-aheads.Required QualificationsThese are the contract minimums. Candidates who do not meet them cannot be placed on this task.Education: Bachelor's degree in Operations Research or Operations Analysis. (The contract is specific - related degrees such as mathematics, statistics, or engineering do not substitute for this requirement.)Preferred: Master of Science in Operations Research or Operations Analysis (NPS Curriculum 360 / 355 or civilian equivalent).Experience: Ten (10) years applying operations research / operations analysis to Navy warfighting analysis.Demonstrated skill in mathematics and computation, including programming for complex analysis, algorithm development, and simulation.Demonstrated skill in data preparation (collect, clean, manipulate) and statistical / probability analysis of decision problems.Demonstrated skill in optimization, stochastic modeling, simulation with design of experiments, and systems analysis.Proven ability to conduct independent analysis and present results orally and in writing to operational customers.Clearance: Active Top Secret / SCI. U.S. citizenship required. Ability to obtain NATO briefings after hire. Must be eligible for a DISS Visit Access Request to COMSUBGRU TWO.Ability to work full-time on-site at NSA Hampton Roads / Naval Station Norfolk (Building NH-13 / TUSWC spaces). No remote option for this seat.Desired QualificationsNavy 3211P / 3211Q operations-analysis subspecialty, or equivalent civilian utilization tour at a Fleet, TYCOM, numbered-fleet, OPNAV N81, UWDC Tactical Analysis Group, CNA field, NUWC, or TUSWC staff.Direct undersea warfare, theater ASW, maritime homeland defense, or submarine-force staff experience.Prior on-site embed at a Navy operational staff (not only laboratory or headquarters studies).Experience training operators or staff officers on analytic methods and leaving durable process documentation.Familiarity with SIPRNet collaboration, OPSEC, and handling of classified / CUI / PPBE data.Tools such as Python, R, MATLAB, Julia, or equivalent; optimization solvers; discrete-event or combat simulation; and standard Navy briefing products.Experience briefing O-6 / flag / SES audiences.Work EnvironmentPrimary workplace: COMSUBGRU TWO, 1430 Mitscher Avenue, Norfolk, VA 23551 (NSA Hampton Roads).Classification: work up to TOP SECRET / SCI; incidental TS/SCI research into models; meetings at TS/SCI; NATO information access.Government intends to provide NIPR and SIPR access on site. Contractor provides personal analytic tools unless otherwise furnished.Travel is not part of this task. Other direct costs are not authorized.Analysis, methods, algorithms, code, and data developed on contract become U.S. Government property.Compensation and BenefitsFinal Compensation is based on Education and Experience.Compensation is competitive for a TS/SCI, on-site Navy warfighting OR seat in Hampton Roads and is commensurate with education, clearance, and directly relevant experience. Heartland typically provides:Health, dental, and vision insurance401(k) with company matchPaid time off and paid federal holidaysSupport for professional affiliations (MORS, INFORMS) when mission allowsFinal offer depends on qualifications, clearance currency, and start-date availability. Target start is aligned to contract award / 29 September 2026, with an earlier overlap preferred so the outgoing analyst can conduct a structured turnover.How to ApplyApply HERE to this job posting, orEmail a résumé (PDF) and a one-page letter that maps your education and ten-year Navy-warfighting OR experience to the required skill list above. State clearance level, investigation date or last PR date if known, and earliest start date.Apply: line: Senior OR Analyst - COMSUBGRU TWO TUSWC - Last Name Website: citizens only. Heartland Consulting is a Veteran-Owned Small Business and an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. This position requires an active U.S. security clearance; clearance eligibility is a bona fide occupational qualification.
Job Description Job Description Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About the Role We are looking for a Staff Robotics Software Engineer (Tech Lead) to lead the design and development of robot behaviors that expand and generalize our humanoid robot's capabilities. In this role, you will own behavior design end-to-end, from high-level task logic and system design down to on-robot validation and deployment. You will work at the intersection of behavior planning, motion planning, object perception, and manipulation, developing new autonomy capabilities and pushing the robot into new classes of tasks. We are looking for a hands-on technical leader who can set technical direction and wants to stay close to the robot: writing code, running experiments, debugging logs, working with hardware, and mentoring other engineers by building alongside them. Key Responsibilities Own the design, implementation, and validation of complex humanoid robot behaviors. Lead behavior planning and execution design, including task decomposition, control flow, recovery, and failure handling. Build new autonomy capabilities that expand what the robot can reliably do in the real world. Develop and evaluate manipulation strategies for new tasks, objects, workflows, and customer environments. Integrate robot behaviors with motion planning, controls, object perception, estimation, and hardware systems. Train, evaluate, and integrate learned policies into hybrid learned/classical execution workflows. Integrate new end effectors, tools, sensors, and other hardware capabilities into the behavior stack. Debug complex system-level failures using logs, replay, metrics, simulation, and on-robot experimentation. Mentor engineers through design reviews, code reviews, debugging, and hands-on technical guidance. Help set technical direction and best practices for building robust, composable, reusable, and generalizable robot behaviors. About You B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field. 8+ years of professional experience developing robotics software, autonomy systems, robot behaviors, or related real-world robotic capabilities. Demonstrated experience as a tech lead or senior technical owner for complex robotics projects. Proficient in Python and C++, and comfortable contributing to large, long-lived codebases. Experience with behavior trees, state machines, task planners, hierarchical planning, or similar behavior-planning frameworks. Strong system-level understanding of how motion planning, object perception, controls, estimation, and hardware interact on real robots. Experience working with complex algorithms and data pipelines, with an ability to optimize for performance, robustness, and scalability. Experience collaborating closely with perception, planning, controls, hardware, product, or field teams. Strong ownership mindset with a focus on robustness, generalization, and real-world reliability. Bonus Qualifications Experience developing manipulation strategies for complex or unstructured environments. Experience with learned robot skills, including imitation learning, reinforcement learning, or hybrid learned/classical execution strategies. Experience deploying and supporting autonomous robots in real customer environments. This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Salary Range $190,000-$296,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
09/15/2026
Full time
Job Description Job Description Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About the Role We are looking for a Staff Robotics Software Engineer (Tech Lead) to lead the design and development of robot behaviors that expand and generalize our humanoid robot's capabilities. In this role, you will own behavior design end-to-end, from high-level task logic and system design down to on-robot validation and deployment. You will work at the intersection of behavior planning, motion planning, object perception, and manipulation, developing new autonomy capabilities and pushing the robot into new classes of tasks. We are looking for a hands-on technical leader who can set technical direction and wants to stay close to the robot: writing code, running experiments, debugging logs, working with hardware, and mentoring other engineers by building alongside them. Key Responsibilities Own the design, implementation, and validation of complex humanoid robot behaviors. Lead behavior planning and execution design, including task decomposition, control flow, recovery, and failure handling. Build new autonomy capabilities that expand what the robot can reliably do in the real world. Develop and evaluate manipulation strategies for new tasks, objects, workflows, and customer environments. Integrate robot behaviors with motion planning, controls, object perception, estimation, and hardware systems. Train, evaluate, and integrate learned policies into hybrid learned/classical execution workflows. Integrate new end effectors, tools, sensors, and other hardware capabilities into the behavior stack. Debug complex system-level failures using logs, replay, metrics, simulation, and on-robot experimentation. Mentor engineers through design reviews, code reviews, debugging, and hands-on technical guidance. Help set technical direction and best practices for building robust, composable, reusable, and generalizable robot behaviors. About You B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field. 8+ years of professional experience developing robotics software, autonomy systems, robot behaviors, or related real-world robotic capabilities. Demonstrated experience as a tech lead or senior technical owner for complex robotics projects. Proficient in Python and C++, and comfortable contributing to large, long-lived codebases. Experience with behavior trees, state machines, task planners, hierarchical planning, or similar behavior-planning frameworks. Strong system-level understanding of how motion planning, object perception, controls, estimation, and hardware interact on real robots. Experience working with complex algorithms and data pipelines, with an ability to optimize for performance, robustness, and scalability. Experience collaborating closely with perception, planning, controls, hardware, product, or field teams. Strong ownership mindset with a focus on robustness, generalization, and real-world reliability. Bonus Qualifications Experience developing manipulation strategies for complex or unstructured environments. Experience with learned robot skills, including imitation learning, reinforcement learning, or hybrid learned/classical execution strategies. Experience deploying and supporting autonomous robots in real customer environments. This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Salary Range $190,000-$296,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Senior Staff Engineer, AI Compute (Remote Eligible) 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 Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/14/2026
Full time
Senior Staff Engineer, AI Compute (Remote Eligible) 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 Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Staff AI Engineer 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level 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 production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/14/2026
Full time
Senior Staff AI Engineer 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level 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 production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
