Senior Robotic Learning Engineer: Manipulation & Teleoperation

Genesis AI; United States; Hybrid; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

Genesis AI is seeking a skilled robotics software engineer to develop and optimize a learning-based manipulation and control stack for real-world applications. You will design and maintain a teleoperation system with smooth, precise motion and low latency, and train robotic policies using reinforcement and imitation learning.

The role includes deploying policies, diagnosing latency issues, reducing the sim-to-real gap by co-optimizing simulation with real robotics, and collaborating with a team

Qualifikationen

• 5+ years of experience building and deploying real-world learning-based robotic systems.
• Production-level expertise in Python or C++.
• Excellent ownership and initiative; able to work independently.

Aufgaben

• 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 committed to building general-purpose Physical AI.

Kenntnisse

Robotics engineering

Python

C++

Reinforcement learning

Imitation learning

Problem solving

Tools

ROS

Jobbeschreibung

Genesis AI is seeking a skilled robotics software engineer to develop and optimize a learning-based manipulation and control stack for real-world applications. You will design and maintain a teleoperation system with smooth, precise motion and low latency, and train robotic policies using reinforcement and imitation learning.

The role includes deploying policies, diagnosing latency issues, reducing the sim-to-real gap by co-optimizing simulation with real robotics, and collaborating with a team