9,127 Frontier AI jobs in the United States

Description

We are seeking a highly skilled Machine Learning Systems Engineer to join Frontier AI Robotics team. This role focuses on building and optimizing distributed training infrastructure for large-scale machine learning models, particularly in deep learning and transformer-based architectures. You will work closely with scientists and engineers to deliver scalable, high-performance systems that power state-of-the-art AI research and applications.

About the team

At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.

What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.

Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.

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

• Design, build, and optimize machine learning infrastructure for large-scale training and inference.

• Apply PyTorch, Python, and C++ skills to engineer modular, scalable ML systems.

• Evaluate and implement parallelism techniques such as data, tensor, model, and pipeline parallelism.

• Monitor and optimize GPU memory and throughput for training large models efficiently.

• Collaborate cross-functionally with research, data infra teams to integrate new models and features.

• Deep understanding of LLM algorithm and deep learning framework like PyTorch.

• Mathematics and Statistics: Strong understanding of linear algebra, calculus, probability, and statistics.

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.

Pursuant to the San Francisco 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

Frontier AI's mission is to position Anduril as a global leader in AI for national security. As such, the Frontier AI team productizes the latest and greatest innovations in artificial intelligence such as large language models, large multi-modal language models, and edge multi-modal models for deployment into Anduril products, systems and business lines.
ABOUT THE JOB

The Mission Software Engineer - Frontier AI role, in particular, focuses on infrastructure challenges as it pertains to the productization of frontier AI applications on edge and air gapped environments. At a high level, the role is expected to specialize in build, performance, deployment, evaluation, hardware and related problems.
WHAT YOU'LL DO

• Own the software solutions that are deployed to customers
• Lead the discovery, development, and implementation of workflows and tools for training and adapting LLMs to generate simulations
• Build and maintain test suites for evaluating LLM interactions with simulation environments (e.g., automated correctness and performance testing)
• Design, develop, and maintain evaluation pipelines for geospatially aware LLMs, including customized evals for spatial reasoning and location capability
• Contribute to ongoing efforts to fine-tune LLMs for improved performance in simulation script generation and multi-modal input handling
• Document processes, findings, and results for internal knowledge transfer and external reporting

REQUIRED QUALIFICATIONS

• Comfortable scripting or coding in Python and/or Golang and have experience integrating models with external systems or APIs
• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• At least 3 years of experience creating and deploying production level software
• At least 2 years of experience deploying and integrating LLMs into production software
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Bonus: experience with any type of modeling and simulation software
• Experience working in small teams such as a high-growth startup
• Experience with modern build and deployment tooling such as Nix and Terraform
• Ability to rapidly adapt and perform as a generalist when needed
• Experience with DOD Simulators (AFSIM, NGTS, etc.)

US Salary Range

$191,000-$253,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Healthcare Benefits

• US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.

Additional Benefits

• Income Protection : Anduril covers life and disability insurance for all employees.
• Generous time off : Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.

Retirement Savings Plan

• US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

To view Anduril's candidate data privacy policy, please visit

Description
We are seeking a highly skilled Machine Learning Systems Engineer to join Frontier AI Robotics team. This role focuses on building and optimizing distributed training infrastructure for large-scale machine learning models, particularly in deep learning and transformer-based architectures. You will work closely with scientists and engineers to deliver scalable, high-performance systems that power state-of-the-art AI research and applications.
About the team
At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
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
- Design, build, and optimize machine learning infrastructure for large-scale training and inference.
- Apply PyTorch, Python, and C++ skills to engineer modular, scalable ML systems.
- Evaluate and implement parallelism techniques such as data, tensor, model, and pipeline parallelism.
- Monitor and optimize GPU memory and throughput for training large models efficiently.
- Collaborate cross-functionally with research, data infra teams to integrate new models and features.
- Deep understanding of LLM algorithm and deep learning framework like PyTorch.
- Mathematics and Statistics: Strong understanding of linear algebra, calculus, probability, and statistics.
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.
Pursuant to the San Francisco 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers to push the boundaries of what's possible in robotic intelligence. As an Applied Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive independent research initiatives in areas such as perception, manipulation, scene understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale.
In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You'll have access to Amazon's vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.
Key job responsibilities
- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
- Drive independent research initiatives in robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization
- Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments
- Collaborate with platform teams to optimize and scale models for real-world applications
- Contribute to the team's technical strategy and help shape our approach to next-generation robotics challenges
A day in the life
- Design and implement novel foundation model architectures, leveraging our extensive compute infrastructure to train and evaluate at scale
- Collaborate with our world-class research team to solve complex technical challenges
- Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems
- Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists
- Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas
- Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applications
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through ground breaking foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience building machine learning models or developing algorithms for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience applying theoretical models in an applied environment
- Experience developing and implementing deep learning models
- Track record of solving complex technical problems
Preferred Qualifications
- Experience using Unix/Linux
- First-author publications at major or top-tier ML / robotics conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL)
- Experience with foundation models or large language models
- Background in computer vision, robotics, or related fields
- Experience with sim2real transfer or multi-task learning
- Familiarity with distributed training systems
- Track record of deploying ML models in production environments
- Experience with large-scale machine learning systems
- Extensive programming skills in Python and PyTorch/JAX
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.
Pursuant to the San Francisco 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll contribute to breakthrough foundation models run at production scale. As a Software Development Engineer embedded in our science team, you'll be instrumental in transforming novel research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.
In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications.
Key job responsibilities
- Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools
- Collaborate closely with scientists to influence model architectures for optimal hardware utilization
- Design and implement efficient compilation pipelines for complex transformer architectures
- Develop comprehensive benchmarking frameworks to measure and optimize model performance
- Build robust monitoring solutions to ensure reliable model serving at scale
- Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers
- Maintain high engineering standards through proper testing, documentation, and code review practices
A day in the life
- Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques
- Partner with scientists to analyze model architectures and propose efficiency improvements
- Implement and benchmark various optimization strategies for large-scale models
- Debug performance bottlenecks using NVIDIA profiling tools
- Participate in technical discussions about new model architectures with the science team
- Design and maintain performance monitoring systems for production deployment
- Prototype new acceleration approaches using emerging compilation frameworks
About the team
At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
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.
Pursuant to the San Francisco 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team. As an Applied Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive independent research initiatives in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between research and real-world deployment at Amazon scale.
In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You'll have access to Amazon's vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.
Key job responsibilities
- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
- Drive independent research initiatives in robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization
- Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments
- Collaborate with platform teams to optimize and scale models for real-world applications
- Contribute to the team's technical strategy and help shape our approach to next-generation robotics challenges
A day in the life
- Design and implement novel foundation model architectures, leveraging our extensive compute infrastructure to train and evaluate at scale
- Collaborate with our world-class research team to solve complex technical challenges
- Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems
- Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists
- Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas
- Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applications
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields
- Experience programming in Java, C++, Python or related language
- Publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL)
- Experience developing and implementing deep learning models
- Strong programming skills in Python and PyTorch/JAX
- Track record of solving complex technical problems
Preferred Qualifications
- Experience using Unix/Linux
- First-author publications at major ML/robotics conferences
- Experience with foundation models or large language models
- Background in computer vision, robotics, or related fields
- Experience with sim2real transfer or multi-task learning
- Familiarity with distributed training systems
- Track record of deploying ML models in production environments
- Experience with large-scale machine learning systems
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.
Pursuant to the San Francisco 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll contribute to breakthrough foundation models run at production scale. As a Software Development Engineer embedded in our science team, you'll be instrumental in transforming novel research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.
In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications.
Key job responsibilities
- Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools
- Collaborate closely with scientists to influence model architectures for optimal hardware utilization
- Design and implement efficient compilation pipelines for complex transformer architectures
- Develop comprehensive benchmarking frameworks to measure and optimize model performance
- Build robust monitoring solutions to ensure reliable model serving at scale
- Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers
- Maintain high engineering standards through proper testing, documentation, and code review practices
A day in the life
- Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques
- Partner with scientists to analyze model architectures and propose efficiency improvements
- Implement and benchmark various optimization strategies for large-scale models
- Debug performance bottlenecks using NVIDIA profiling tools
- Participate in technical discussions about new model architectures with the science team
- Design and maintain performance monitoring systems for production deployment
- Prototype new acceleration approaches using emerging compilation frameworks
About the team
At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
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.
Pursuant to the San Francisco 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team. As an Applied Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive independent research initiatives in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between research and real-world deployment at Amazon scale.
In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You'll have access to Amazon's vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.
Key job responsibilities
- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
- Drive independent research initiatives in robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization
- Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments
- Collaborate with platform teams to optimize and scale models for real-world applications
- Contribute to the team's technical strategy and help shape our approach to next-generation robotics challenges
A day in the life
- Design and implement novel foundation model architectures, leveraging our extensive compute infrastructure to train and evaluate at scale
- Collaborate with our world-class research team to solve complex technical challenges
- Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems
- Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists
- Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas
- Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applications
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields
- Experience programming in Java, C++, Python or related language
- Publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL)
- Experience developing and implementing deep learning models
- Strong programming skills in Python and PyTorch/JAX
- Track record of solving complex technical problems
Preferred Qualifications
- Experience using Unix/Linux
- First-author publications at major ML/robotics conferences
- Experience with foundation models or large language models
- Background in computer vision, robotics, or related fields
- Experience with sim2real transfer or multi-task learning
- Familiarity with distributed training systems
- Track record of deploying ML models in production environments
- Experience with large-scale machine learning systems
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.
Pursuant to the San Francisco 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
About the Role:
We are seeking a hands-on Electrical Engineer to lead the design and integration of electrical systems for high-degree-of-freedom robotic platforms. This role involves architecting the robot's power distribution, sensor wiring, and embedded electrical infrastructure.
You will be responsible for designing the battery system, power boards, wiring harnesses, sensor interfaces, and overall electrical routing strategy in close collaboration with mechanical and software engineers. You'll play a key role in ensuring high-performance, reliable operation of complex electromechanical systems under real-world conditions.
Basic Qualifications:
* Bachelor's or Master's in Electrical Engineering or a related field.
* 6 to 10 years experience designing and integrating electrical systems in robotics or complex electromechanical platforms.
* Strong background in power electronics, battery systems, and embedded electrical integration.
* Experience with wire harness design, including connector selection, cable specing, and EMI mitigation strategies.
* Proficient in PCB design (schematic capture and layout) using Altium or similar tools.
* Familiarity with embedded systems and sensor integration.
* Hands-on experience with lab tools for electrical debug and validation (oscilloscope, power supply, spectrum analyzer, etc.).
Preferred Qualifications:
* Experience with high-DOF robotic systems.
* Familiarity with high-speed data protocols (e.g., MIPI, PCIe, Gigabit Ethernet).
* Exposure to embedded programming (e.g., C, Python, HDL) and firmware bring-up.
* Understanding of thermal design and safety considerations in high-power robotic systems.
* Experience working in environments with DFM/DFA constraints and production scaling.
* Working knowledge of Linux command line and device configuration tools.
* Familiarity with mechanical CAD (e.g., SolidWorks) for collaborative integration work.
Key job responsibilities
* Design and develop the full electrical system for advanced robotic platforms-including power distribution, sensing, compute, and communication infrastructure.
* Specify and design custom power electronics and power distribution boards to meet performance, thermal, and safety requirements.
* Architect and integrate the robot's battery system, including protection circuitry, battery management, charging systems, and thermal considerations.
* Design and route all cabling and wire harnesses across the robotic platform, considering EMI, signal integrity, serviceability, and integration with mechanical structures.
* Define and implement wiring and electrical interfaces for sensors (e.g., lidar, stereo cameras, IMUs, tactile) and compute modules.
* Determine appropriate electrical and communication protocols (e.g., CAN, SPI, I2C, Ethernet, USB, MIPI) for reliable and efficient system operation.
* Work closely with mechanical engineers to co-design system layouts and routing paths for electrical components and harnesses.
* Design schematics and PCBs for custom electronics using Altium or equivalent tools. Oversee layout, bring-up, and validation.
* Debug electrical issues across complex systems using lab tools (oscilloscopes, DMMs, power analyzers) and develop long-term fixes.
* Support lab-based builds and tests; create and refine test setups for system validation and sensor/power verification.
About the team
Frontier AI & Robotics (FAR) is the team at Amazon building the next generation of embodied intelligence. FAR drives the development and implementation of advanced AI models within Amazon's operations that enable robots to see, reason, and act on the world around them, supporting a number of different warehouse automation tasks.
Basic Qualifications
- Experience in developing functional specifications, design verification plans and functional test procedures
Preferred Qualifications
- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience working with interdisciplinary teams to execute product design from concept to production
- Experience with the project management of technical projects
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.
Pursuant to the San Francisco 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.