22 hours ago
San Francisco, CA, USAMid Level
Base Salary
$100k - $300k/yr
Responsibilities
- 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 computer vision and perception algorithms for autonomous robots.
- Create pipelines connecting simulation with real-world robot deployment, including real-to-sim and sim-to-real workflows.
- Work 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, and mobile platforms.
- Integrate and experiment with robot platforms in physical-world testing.
- Create tools and infrastructure that accelerate robotics research and development.
- Collaborate with external robotics companies and research labs on technical problems.
Requirements
- Demonstrated research or engineering experience in robotics and AI beyond academic experiments alone.
- Strong software skills in 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 Isaac Lab, MuJoCo, MJX, or Genesis.
- Experience with robotics hardware, sensors, embedded systems, and 3D modeling tools.
- Ability to work across research, engineering, experimentation, and product development with end-to-end ownership.
- Exposure to multimodal AI approaches such as transformers, diffusion models, world models, vision-language-action models, LLMs, or AI agents is a plus.
- New graduates with strong robotics backgrounds are welcome.
Benefits
- Salary range of $100,000 to $300,000 USD annually.
- On-site role in San Francisco, California; not remote.
Categories
ML EngineeringRobotics
