About the RoleThis 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 & BenefitsSalary range:
$100,000 - $300,000 USD annually, depending on experience. Equity participation is expected at this stage. Visa sponsorship is not available.
LocationOn-site in
San Francisco, CA. This role is not eligible for remote work.
