Software Engineer - Manipulation

The Software Engineer - Manipulation is a core contributor to our robot's ability to interact with the world reliably and precisely. This role is responsible for developing and deploying learning-based manipulation policies, with a focus on post-training methods that adapt and improve those policies on real tasks and physical hardware.

This role will bridge the gap between cutting-edge research and scalable, reliable production software. Working closely with the simulation, data, hardware, and systems teams, this engineer will take manipulation policies from demonstration data through post-training to robust deployment across our fleet.

• Implement and deploy state-of-the-art learning-based manipulation policies to achieve reliable, world-class performance on real-world tasks with physical hardware.
• Adapt and improve policies for new tasks and hardware using post-training methods such as RL fine-tuning, policy distillation, and interactive imitation learning (e.g., DAgger).
• Build and maintain the data pipelines that support post-training, including teleoperation and demonstration collection, retargeting, dataset aggregation, and curation.
• Drive the development cycle from simulation and offline evaluation to robustly transferring and fine-tuning policies on the robot.
• Develop visuomotor policies for grasping, in-hand manipulation, and whole-arm manipulation, with reliable, low-latency execution on hardware.
• Define evaluation metrics and regression tests for policy performance in simulation and on hardware, and use the results to guide technical decisions.
• Collaborate closely with the simulation, data, hardware, and systems teams to diagnose system-level issues and co-develop solutions.
• Maintain high standards for the codebase through testing, documentation, and peer code reviews.

SKILLS AND REQUIREMENTS

Technical Skills (Must-Have)

…