Research Engineer / Research Scientist, Robotics and Physical AI

About the Role

This is a hands-on research and engineering role at an early-stage AI data company focused on robotics and physical AI. You will work across learning algorithms, simulation, and hardware to push robot capabilities from simulation into real-world deployment, shaping how robots perceive, plan, and act.

What You'll Do

• Develop learning systems for robots, including policies, world models, and vision-language-action models.
• Build and maintain simulation environments and evaluation frameworks for robotic tasks.
• Apply and advance computer vision and perception algorithms for autonomous robots.
• Build pipelines connecting simulation and real-world robot deployment across real-to-sim and sim-to-real workflows.
• Work with robot hardware, sensors, actuators, and embedded systems to prototype and test capabilities.
• Train and evaluate reinforcement-learning and imitation-learning systems for manipulation, locomotion, or mobile platforms.
• Integrate robot platforms to validate algorithms in the physical world.
• Create tools and infrastructure that accelerate robotics research and development.
• Collaborate with external robotics companies and research labs on technical challenges.

What We're Looking For

• Strong software skills in C++ and Python.
• Practical experience with deep learning, reinforcement learning, and computer vision.
• Demonstrated hands-on robotics research and engineering experience beyond academic prototypes alone.
• Real-to-sim and sim-to-real workflow experience; familiarity with simulation platforms such as Isaac Lab, MuJoCo, MJX, or Genesis is a plus.
• Hands-on mechanical and hardware engineering experience, including sensors, actuators, CAD, and embedded systems.
• Relevant industry experience in a company environment, not solely university research.