Research Engineer / Research Scientist, Robotics and Physical AI

Required

• 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.
• Comfort operating as an individual contributor with end-to-end ownership in a small, fast-moving team.
• Exposure to modern multimodal AI approaches such as transformers, diffusion models, world models, LLMs, or AI agents is a bonus.
• Background from a recognized company or strong university is preferred; genuine robotics depth is required over adjacent ML experience alone.
• All experience levels welcome, from new graduates to seasoned researchers.