Job Description

Description

In this role, you'll combine handson technical work with leadership, ensuring your team delivers the best environment to develop robust physical AI solutions for dynamic realworld environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multimodal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.

Key job responsibilities

• You will lead the ML infrastructure team to create model training and simulation environment for developing large robotics foundational models for reasoning, perception, locomotion, and manipulation.

• Work together with AI researchers to implement and optimize training of new model architectures at a large scale.

• Define roadmap and build physics realistic simulation environment for reinforcement learning, closedloop simulations and synthetic data generation.

• Implement tooling for data creation, model experimentation, and continuous integration.

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 endtoend 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, realworld 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 realworld datasets to train and deploy stateoftheart 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 realworld 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 worldclass researchers, and seeing your innovations deployed at unprecedented scale.

Basic Qualifications

• 10+ years of engineering experience

• 5+ years of engineering team management experience

• Experience managing multiple concurrent programs, projects and development teams in an Agile environment

• Proficiency in Python and C++, experience in building largescale training infrastructure using PyTorch

• Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industryequivalent technology (3D animation, simulation, etc)

• 10+ years of planning, designing, developing and delivering infrastructure software

• Experience partnering with product or program management science teams working in research environments

Preferred Qualifications

• Experience designing and developing large scale, hightraffic applications

• Experience with physical robots, reinforcement learning, synthetic data generation. Experience optimizing physics simulation for articulated robots and rigid body interactions.

• Deep understanding of different model architecture like VLM, Imitation learning, VLA

• Experience implementing techniques from research papers

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 Companys 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 youre applying in isnt 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 $198,100/year in our lowest geographic market up to $342,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, signon 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.

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