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
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Develop learning systems for robots, including policies, world models, and vision-language-action models.
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Build and maintain simulation environments and evaluation frameworks for robotic tasks.
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Apply and advance computer vision and perception algorithms for autonomous robots.
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Construct pipelines connecting simulation and real-world robot deployment (real-to-sim and sim-to-real).
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Work with robot hardware, sensors, actuators, and embedded systems to prototype and test capabilities.
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Train and evaluate reinforcement-learning and imitation-learning systems for manipulation, locomotion, or mobile platforms.
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Integrate and experiment with robot platforms to validate algorithms in the physical world.
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Create tools and infrastructure that accelerate robotics research and development.
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Collaborate with external robotics companies and research labs on technical problems.
What We're Looking For
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Any experience level welcome — new graduates through senior researchers and engineers are encouraged to apply.
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Strong software skills in C++ and Python.
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Hands-on experience with deep learning, reinforcement learning, and computer vision.
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Experience developing and maintaining robotics simulation environments (e.g., Isaac Lab, MuJoCo, MJX, Genesis) and real-to-sim/sim-to-real workflows.
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Practical experience with robot hardware, sensors, actuators, CAD/Blender, and embedded systems.
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Familiarity with modern ML tools — LLMs, Transformers, multimodal AI, diffusion models, or AI agents — is a plus.
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Comfortable moving fluidly between research, engineering, experimentation, and product development.
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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.