Job Description
DESCRIPTION
In this role, you'll combine hands-on technical work with leadership, ensuring your team delivers the best environment to develop robust physical AI solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources 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
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, closed-loop 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 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
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 large-scale training infrastructure using PyTorch
Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industry-equivalent 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, high-traffic 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 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 $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 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
In this role, you'll combine hands-on technical work with leadership, ensuring your team delivers the best environment to develop robust physical AI solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources 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
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, closed-loop 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 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
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 large-scale training infrastructure using PyTorch
Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industry-equivalent 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, high-traffic 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 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 $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 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
💡 Quick Summary
Seeking a career-building opportunity? The Sr. Software Development Manager, Frontier AI Robotics- job post position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Seattle offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.