Robot Learning

Genesis AI; Greater London; Sur place; GBP 60 000 - 110 000; Plein temps

Résumé du poste

Genesis AI in Greater London seeks a robotics engineer to develop and optimize a learning-based manipulation and teleoperation stack, train policies via reinforcement and imitation learning, and deploy real-world robotic systems.

You will collaborate with a team to minimize sim-to-real gaps, diagnose latency bottlenecks, and push toward general-purpose Physical AI. 5+ years of production robotics experience and Python/C++ proficiency are required.

Qualifications

• Passion for robotics engineering with demonstrated excellence.
• Ability to own and drive problems independently.
• Detail-oriented, methodical approach to complex tasks.
• Production-level Python or C++ expertise.
• 5+ years of experience building and deploying learning-based robotic systems.

Responsabilités

• Develop and optimize a learning-based robotic manipulation control stack.
• Design and maintain a teleoperation system with low latency.
• Train robotic policies for manipulation and locomotion with RL and IL.
• 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 behavior.
• Collaborate with a team to build general-purpose Physical AI.

Connaissances

Robotics engineering

Python

C++

Reinforcement learning

Imitation learning

Teleoperation systems

Description du poste

What You’ll Do

• 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

What You’ll Bring

• Passion for your craft and demonstrated excellence in robotics engineering

• Exceptional ownership and initiative—finding and solving problems independently

• Focus, attention to detail, patience, and a methodical approach to complex tasks

• Production-level expertise in modern Python or C++

• Extensive experience building and deploying real-world learning-based robotic systems (5+ years)

• Bonus: Hands-on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components