Qualifications

• 5+ years experience in building and deploying learning-based robotic systems
• Proficient in modern Python or C++ for production-level coding
• Strong problem-solving skills with a proactive mindset
• Attention to detail and a systematic approach to complex tasks
• Demonstrated passion and excellence in robotics engineering
• Bonus: Experience in troubleshooting robotic systems across various components

Responsibilities

• Develop and optimize a robotic manipulation control stack based on learning principles
• Design and maintain a teleoperation system ensuring smooth motion and low latency
• Train robotic manipulation and locomotion policies using reinforcement and imitation learning
• Deploy robotic policies and identify latency issues in the control pipeline
• Analyze and reduce the sim-to-real gap by co-optimizing robot behavior in simulation and reality
• Collaborate with a dedicated team aiming to advance Physical AI