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Member of Technical Staff – Mechanical Engineer, Manipulation, Frontier AI & Robotics Job ID: 10496157 | Amazon.com Services LLC
We are seeking a Member of Technical Staff - Mechanical Engineer to design and develop robotic manipulation hardware within a frontier AI and robotics research lab. You will own the mechanical design of manipulation-focused hardware end-to-end: grippers, end-of-arm tooling (EOAT), multi-finger hands, UMI-style grippers, and data collection fixtures - all built to enable AI researchers to collect high-quality demonstration data and validate learned manipulation policies.
This role sits at the intersection of mechanical design and AI research. You will be the person who builds the physical tools that make robot learning possible, rapidly prototyping and iterating on end-effectors and data collection hardware, working hand-in-hand with AI/ML researchers to understand what mechanical properties (compliance, sensing, geometry) actually matter for learned manipulation policies.
The ideal candidate is hands-on, moves quickly,



is motivated by learning across domains, and is as comfortable sketching a new gripper concept as they are debugging a real-world manipulation experiment. You thrive in fast-paced R&D; environments where requirements evolve quickly, and you are genuinely curious about how your design decisions influence data quality and policy performance. If you want to directly shape the hardware that enables the next generation of robot learning, this role is for you.
What You Bring A hands-on, build-first mindset: comfortable prototyping, testing, and iterating rapidly in a research environment.
Comfort designing in environments where requirements evolve quickly and hardware needs to be rethought from week to week
Genuine interest in how mechanical design choices such as compliance, geometry, sensing integration, etc. impact data quality for robot learning
Familiarity or curiosity about imitation learning, teleoperation, or data collectio

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