Research Engineer / Research Scientist — Robotics & Physical AI

About this role

A research engineering role focused on developing AI systems that enable robots to learn and operate in the real world. You'll bridge simulation and hardware, working on learning algorithms, perception, and sim-to-real deployment across a collaborative robotics team.

What you'll do

• Develop robot learning systems including policies, world models, and vision-language-action models
• Build and maintain simulation environments and evaluation frameworks for robotic tasks
• Apply computer vision and perception algorithms for autonomous robot operation
• Create sim-to-real and real-to-sim pipelines to transition algorithms from simulation to physical deployment
• Work with robot hardware, sensors, actuators, and embedded systems to prototype and validate capabilities
• Train and evaluate reinforcement learning and imitation learning systems for manipulation and locomotion

What they're looking for

• C++ and Python programming
• Deep learning and reinforcement learning
• Computer vision and perception
• Robotics simulation environments (Isaac Lab, MuJoCo, MJX, Genesis)
• Robot hardware integration and embedded systems
• CAD and 3D modeling (Blender)
• Modern ML tools (LLMs, Transformers, diffusion models, AI agents)
• Sim-to-real and real-to-sim workflows

Benefits

• Equity participation
• Work at the intersection of research and engineering
• Collaborative small team environment
• Access to robot hardware and simulation infrastructure
• Exposure to cutting-edge AI and robotics research