Research Engineers & Research Scientists — Robotics & Physical AI

Perfect Bit is building AI-driven systems that help robots learn, reason, and operate in the physical world. This team combines research and engineering across learning algorithms, simulation, and hardware to push robot capabilities from simulation into real-world deployment — work that will shape how robots perceive, plan, and act.

• Develop learning systems for robots, including policies, world models, and vision-language-action models.
• Create 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 (real-to-sim and sim-to-real).
• 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 and experiment with 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 problems.

• Comfortable working on-site in San Francisco (this role is not remote) and eligible to work in the US (US citizen/visa restrictions).
• Experience level:
  Any — new grads are welcome as well as experienced researchers and engineers.
• Strong software skills in C++ and Python.
• Practical experience with deep learning, reinforcement learning, and computer vision.
• Familiarity with simulation platforms and tools (e.g., Isaac Lab, Mu Jo Co , MJX, Genesis) and real-to-sim/sim-to-real workflows.
• Experience with robotics hardware, sensors, CAD/Blender, and embedded systems.
• Exposure to modern ML tools and models (LLMs, Transformers, multimodal AI, diffusion models, AI agents) is a plus.
• Ability to move between research, engineering, experimentation, and product development in a small, collaborative team.