Member of Technical Staff - Robot Manipulation & Learning, Frontier AI Robotics

Member of Technical Staff - Robot Manipulation & Learning, Frontier AI Robotics

Job :  |  Services LLC

We are seeking to hire software engineers who are excited about research for robot manipulation with the goal of developing manipulation systems at human‑level performance. Our strategy focuses on a real2sim2real pipeline that learns from large scale human videos and leverages simulation and reinforcement learning to bridge the human‑to‑robot embodiment gap.

• Design and implement robot learning algorithms for manipulation.
• Leverage vision models to extract 3D hand‑object manipulation information from real‑world situations.
• Develop a large‑scale real2sim2real pipeline for manipulation.
• Integrate tactile sensing, proprioception and vision into the learning pipeline (multimodal sensor fusion).

At Frontier AI & Robotics (FAR), 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 perception and adaptive manipulation strategies that work in complex, real‑world scenarios. Leverage Amazon’s massive computational infrastructure and rich real‑world data sets to train and deploy state‑of‑the‑art foundation models, scaling to meet Amazon’s global operations.

• 5+ years of non‑internship professional software development experience.
• 5+ years of programming experience with at least one software programming language.
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems.
• Experience as a mentor, technical lead or leading an engineering team.
• Bachelor’s degree in computer science or equivalent.

• 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing and operations.
• Experience with robotic manipulation.
• Experience/knowledge developing reinforcement learning for manipulation.
• Experience with extracting human manipulation from large‑scale video and/or mocap data.

Base pay ranges from $150,000 per year in our lowest geographic market up to $300,000 per year in our highest geographic market. Pay is based on location and may vary depending on job‑related knowledge, skills and experience. In addition to base salary, equity, sign‑on payments and other forms of compensation may be provided as part of a total compensation package, along with a full range of medical, financial and other benefits.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.