Research Engineer / Research Scientist -- Robotics & Physical AI

Job Description

Job Description

About the Role

This role sits at the intersection of research and engineering on a small, collaborative team building AI-driven systems that help robots learn, reason, and operate in the physical world. You'll work across learning algorithms, simulation, and hardware — pushing robot capabilities from simulation into real-world deployment and 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.

• Construct 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.

What We're Looking For

• Any experience level welcome — new graduates through senior researchers and engineers are encouraged to apply.

• Strong software skills in C++ and Python .

• Hands-on experience with deep learning, reinforcement learning, and computer vision .

• Experience developing and maintaining robotics simulation environments (e.g., Isaac Lab, MuJoCo, MJX, Genesis) and real-to-sim/sim-to-real workflows.

• Practical experience with robot hardware, sensors, actuators, CAD/Blender, and embedded systems.

• Familiarity with modern ML tools — LLMs, Transformers, multimodal AI, diffusion models, or AI agents — is a plus.

• Comfortable moving fluidly between research, engineering, experimentation, and product development.

• Must be authorized to work in the US; visa sponsorship is not available.

Compensation & Benefits

Salary range: $100,000 – $300,000 USD annually , depending on experience. Equity participation is expected at this stage. Visa sponsorship is not available.

Location

On-site in San Francisco, CA . This role is not eligible for remote work.