Robotics. Backed by Y Combinator.
About the role
You will help build systems that advance the capabilities of robots and embodied models. We are hiring for several roles. Depending on your background, your work could include:
What they're looking for
- Developing learning systems for robots, including policies, world models, and vision-language-action models
- Creating simulation environments and evaluation frameworks for robotic tasks
- Applying and developing advanced computer vision and perception algorithms for autonomous robots
- Building systems that connect simulation and real-world robot deployment
- Working with robot hardware, sensors, and platforms to develop and test new capabilities
- Using synthetic and real-world experiences to improve robotic performance
More about this role
San Francisco · on-site
PerfectBit is building technology to help robots learn, reason, and operate in the physical world.
Robotics requires advances across algorithms, simulation, hardware, and real-world experimentation. Robots need to perceive their environments, understand tasks, plan actions, and improve through interaction. Building capable robotic systems requires breakthroughs in learning, control, simulation, and the infrastructure that connects them.
PerfectBit develops AI-driven methods for advancing robotics. Our work may include:
- Developing learning systems for robots, including policies, world models, and vision-language-action models
- Creating simulation environments and evaluation frameworks for robotic tasks
- Applying and developing advanced computer vision and perception algorithms for autonomous robots
- Building systems that connect simulation and real-world robot deployment
- Working with robot hardware, sensors, and platforms to develop and test new capabilities
- Using synthetic and real-world experiences to improve robotic performance
- Creating tools and infrastructure that accelerate robotics research and development
We aim to infuse cutting-edge AI...
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