Software Engineer - Manipulation

📋 Description

• Implement and deploy state-of-the-art learning-based manipulation policies to achieve reliable
• Adapt and improve policies for new tasks and hardware using post-training methods such as RL
• Build and maintain the data pipelines that support post-training, including teleoperation and
• Drive the development cycle from simulation and offline evaluation to robustly transferring and
• Develop visuomotor policies for grasping, in-hand manipulation, and whole-arm manipulation, with
• Define evaluation metrics and regression tests for policy performance in simulation and on

🎯 Requirements

• An MS with 3+ years of relevant experience, or a recent PhD, in Robotics, Computer Science
• Relevant experience specifically focused on learning-based manipulation or a closely related area.
• A proven track record of taking learned policies from a research/simulation environment and
• Strong experience in robotic manipulation, including grasping, in-hand or whole-arm control, and
• Hands-on experience training and debugging learned policies, including post-training methods such
• Proficiency in Python, C++, and PyTorch or JAX, with experience building real-time robotic software

🎁 Benefits

• Annual salary range: $180,000 - $240,000
• Direct hire
• Equal employment opportunities and non-discrimination policies