General Robotics is building general-purpose intelligence for every robot in any form, across any real-world scenarios. True generalist robots need more than just a foundation model. Backed by Khosla Ventures.
About the role
We're hiring Robotics Engineers to bring state-of-the-art manipulation methods into the GRID platform. You'll work at the frontier of autonomous manipulation, building production-grade policies that generalize across embodiments — from fixed-base robotic arms and mobile manipulators to humanoids. This is a role for engineers who want their research to ship. You'll move between training runs, simulation, and real hardware in customer environments.
What they're looking for
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Research experience in machine learning, robotics, and computer vision
- Experience with developing robotics algorithms or machine learning models at scale
- Programming experience in Python/C++. Good understanding of deep learning frameworks like Pytorch or Jax
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- MS or PhD in Robotics, Computer Science, Computer Engineering, or a related technical field
More about this role
We're hiring Robotics Engineers to bring state-of-the-art manipulation methods into the GRID platform. You'll work at the frontier of autonomous manipulation, building production-grade policies that generalize across embodiments — from fixed-base robotic arms and mobile manipulators to humanoids. This is a role for engineers who want their research to ship. You'll move between training runs, simulation, and real hardware in customer environments.
Design methods, tools, and infrastructure to push forward the state of the art in robotics and foundation models.
Define research goals informed by practical engineering concerns.
Train, adapt, and deploy manipulation foundation models — vision-language-action (VLA) policies, world action models (WAMs), reinforcement learning, and agentic robot policies.
Build synthetic data generation pipelines on high-fidelity simulation platforms, and drive sim-to-real transfer.
Develop data collection, training, and evaluation pipelines as production-quality code: extensible, well-documented, and usable by engineers outside your team.
Run experiments end to end — experimental design, reusable implementations, model evaluation, and clear reporting of...
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