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Sr. Software Development Manager, Frontier AI Robotics

Sr. Software Development Manager, Frontier AI Robotics

AmazonSan Francisco, California, United States
5 hours ago
Job type
  • Full-time
Job description

Sr. Software Development Manager, Frontier AI Robotics

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Sr. Software Development Manager, Frontier AI Robotics

role at

Amazon .

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 such as very large multimodal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.

Key job responsibilities

Lead the ML infrastructure team to create model training and simulation environments 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 environments 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 are reimagining robotics from the ground up. Our team builds the future of intelligent robotics through frontier foundation models and end‑to‑end learned systems, tackling challenging problems from perception to manipulation in real‑world scenarios. Leveraging Amazon's massive computational infrastructure and rich real‑world data, our work spans multimodal perception, sophisticated manipulation, and systems that ship at 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 building large‑scale training infrastructure using PyTorch.

Experience with Isaac Sim, Unity, Unreal, or equivalent 3D simulation technology.

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

Experience partnering with product, program management, or science teams in research environments.

Preferred Qualifications

Experience designing and developing large‑scale, high‑traffic applications.

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

Deep understanding of model architectures such as VLM, imitation learning, and 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 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.

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Software Development Manager • San Francisco, California, United States

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