Robotics Autonomy Engineer, Manipulation

What you'll do

• Develop whole-body control and manipulation behaviors, integrating learning-based and model-based policies with perception and locomotion.
• Train or adapt manipulation policies, including vision language action models, and deploy them on physical robots.
• Build simulation and evaluation pipelines, then test and harden behaviors through lab and field validation.

What they ask for

• Master’s degree or higher in Robotics, Computer Science, Engineering, or a related field; PhD strongly preferred.
• Deep expertise in robot manipulation or whole-body control, with hands-on experience using robot arms, hands or grippers, and humanoid or mobile manipulation platforms.
• Experience with manipulation planning and control, learning-based manipulation, and integrating perception.
• Strong Python and/or C++ skills in Linux-based development environments.

Nice to have

• 2+ years developing and deploying manipulation behaviors on real robotic systems (stated as preferred); 3+ years in an industry or startup robotics setting.
• Experience with loco-manipulation or whole-body MPC, VLA models, demonstration pipelines, dexterous hands or tactile sensing, deployment optimization, or sim-to-real debugging.

Pay

USD 100,000–200,000 (per-year-salary), base salary

Tools

Isaac Lab, MuJoCo, Drake, Python, C++, Linux, PyTorch, JAX

AI focus

Build learning-based manipulation policies, train from demonstration data, and adapt vision language action foundation models for robots and tasks.