Senior Robotics Learning Engineer – RL & Teleoperation

Genesis AI; San Carlos (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Genesis AI in California seeks a robotics engineer to develop and optimize a learning-based robotic manipulation control stack and a teleoperation system with low latency. You will train policies using reinforcement and imitation learning, deploy them, and diagnose bottlenecks in the control pipeline.

Join a team committed to advancing general-purpose Physical AI, tackle latency challenges, and reduce the sim-to-real gap through co-optimization of simulation and real-world robot behavior.

Qualifications

• 5+ years of experience building and deploying real-world learning-based robotic systems.
• Production-level Python or C++ expertise.
• Strong ownership and problem-solving skills.
• Attention to detail and methodical approach.

Responsibilities

• Develop and optimize a learning-based robotic manipulation control stack.
• Design and maintain a teleoperation system with smooth, precise motion and low latency.
• Train robotic policies for manipulation and locomotion with reinforcement learning and imitation learning.
• Deploy robotic policies and diagnose latency or bottlenecks in the control pipeline.
• Analyze and minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior.
• Collaborate with a team of driven individuals committed to building general-purpose Physical AI.

Skills

Python

C++

Job description

Genesis AI in California seeks a robotics engineer to develop and optimize a learning-based robotic manipulation control stack and a teleoperation system with low latency. You will train policies using reinforcement and imitation learning, deploy them, and diagnose bottlenecks in the control pipeline.

Join a team committed to advancing general-purpose Physical AI, tackle latency challenges, and reduce the sim-to-real gap through co-optimization of simulation and real-world robot behavior.