Research Engineer (Simulation)

About the role

InLoop builds warehouse robots that run fully autonomously in customer warehouses today. The fleet is growing quickly (20+ robots), and the demand is huge.

We're hiring a research engineer to make our robots learn precise, contact rich tasks in simulation and carry them over to real hardware. You will be working on the real customer use-cases, and getting the best feedback, directly in a field.

This is research that ships. What you train runs on real robots in weeks, not years.

What you'll work on

- Manipulation with RL. Train reinforcement learning controllers for precise manipulation tasks.

- Sim to real. Get policies trained in simulation working on our real arms, and close the gap when they don't.

- Control. Combine learned policies with classical and learned control where it makes the robot more precise or safer.

- Into the stack. Bring what works into our autonomy stack so it runs on the fleet.

What we're looking for

- Hands on RL for robot control, trained in simulation and run on real hardware

- Large scale simulation (Isaac Sim, Isaac Lab, MuJoCo or similar)

- Strong control fundamentals

- A track record of shipping: code on real robots, papers or open source

Nice to have

- Experience with Vision language action models or imitation learning

- Experience with Code-as-a-Policy

- PhD with a track record of publications (CVPR, ICRA, ICLR, CORL, and etc.)

How to apply

Apply here and include a link to a policy you trained running on a real robot, a paper or a repo. That tells us more than a CV.

See the posting on InLoop Robotics's site