About the RoleThis is a hands-on research and engineering role at an early-stage AI data company focused on robotics and physical AI. You will work across learning algorithms, simulation, and hardware to push robot capabilities from simulation into real-world deployment, 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.
- Build pipelines connecting simulation and real-world robot deployment across real-to-sim and sim-to-real workflows.
- 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 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 challenges.
What We're Looking For- Strong software skills in C++ and Python.
- Practical experience with deep learning, reinforcement learning, and computer vision.
- Demonstrated hands-on robotics research and engineering experience beyond academic prototypes alone.
- Real-to-sim and sim-to-real workflow experience; familiarity with simulation platforms such as Isaac Lab, MuJoCo, MJX, or Genesis is a plus.
- Hands-on mechanical and hardware engineering experience, including sensors, actuators, CAD, and embedded systems.
- Relevant industry experience in a company environment, not solely university research.
- Comfort operating as an individual contributor with end-to-end ownership in a small, fast-moving team.
- Exposure to modern multimodal AI approaches such as transformers, diffusion models, world models, LLMs, or AI agents is a bonus.
- Background from a recognized company or strong university is preferred; genuine robotics depth is required over adjacent ML experience alone.
- All experience levels welcome, from new graduates to seasoned researchers.
Compensation & Benefits- Salary: $100,000 to $300,000 annually (USD), depending on experience.
- Visa sponsorship is not available; candidates must be eligible to work in the US.
LocationOn-site in San Francisco, California. This role is not remote.
