Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

C++ (Programming Language) Python (Programming Language) Robotic Automation Software Reinforcement Learning Low Latency

Job description

• 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

Requirements

• 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

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