About the RoleThis is a hands-on research and engineering role at a small, early-stage AI training data company focused on physical AI and robotics. You will work across the full stack, from learning algorithms and simulation to real-world robot deployment, helping push the frontier of how robots perceive, plan, and act in the physical world.
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.
- Build pipelines connecting simulation and real-world robot deployment, covering real-to-sim and sim-to-real workflows.
- Work directly with robot hardware, sensors, actuators, and embedded systems to prototype and validate capabilities.
- Train and evaluate reinforcement-learning and imitation-learning systems for manipulation, locomotion, or mobile platforms.
- Integrate and experiment with robot platforms to test 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- Demonstrated research or engineering experience in robotics and AI, beyond academic experiments alone. New graduates with strong robotics backgrounds are welcome.
- Strong software skills in both C++ and Python.
- Practical experience with deep learning, reinforcement learning, and computer vision.
- Hands-on experience with real-to-sim or sim-to-real robotics workflows.
- Familiarity with simulation platforms such as Isaac Lab, MuJoCo, MJX, or Genesis.
- Experience working with robotics hardware, sensors, embedded systems, and 3D modeling tools.
- Comfort moving fluidly across research, engineering, experimentation, and product development with end-to-end ownership.
- Exposure to modern multimodal AI approaches, such as transformers, diffusion models, world models, vision-language-action models, LLMs, or AI agents, is a plus.
- An individual contributor mindset with motivation to ship in a small, collaborative team.
Compensation & BenefitsSalary range:
$100,000 to $300,000 USD annually. Visa sponsorship is not available; candidates must be authorized to work in the United States.
LocationOn-site in
San Francisco, California. This role is not remote.
