Series A Physical Intelligence Startup
San Francisco, CA, USA · On-site · Full-time
Posted 3 days ago · 150,000 - 200,000
We’re looking for full-stack roboticists to own either manipulation or navigation systems end to end. These roles require strong theoretical grounding combined with real-world deployment experience. You’ll be working on robotic arms, mobile robots, and/or legged systems, helping take advanced robotics capabilities from lab-quality to production-ready.
Design and implement robotic manipulation systems.
Deploy and operate robotic systems on real-world hardware.
Debug, iterate, and improve real-world robotic behavior in production environments.
Collaborate closely with software and infrastructure teams to deliver robust, integrated systems.
Our platform sits between robot hardware and AI models, providing a modular, composable architecture for training and deploying robotic intelligence at scale. By abstracting hardware differences and standardizing core capabilities—such as perception, spatial understanding, decision-making, and control allows developers and partners to build, transfer, and operate robotic skills efficiently across platforms.
3+ years in robot engineering, ideally manipulation, with work deployed on physical arms
Strong Python; experience writing production code with tests and code review
Solid robotics math: SE(3), rigid-body transforms, Jacobians, forward/inverse kinematics
Motion planning experience (sampling-based planners, collision checking, trajectory generation)
Learning: trained ACT, Diffusion Policy, or VLAs (pi-0, OpenVLA, GR00T) with PyTorch; LeRobot or similar data pipelines
Hands-on hardware debugging: robot drivers, cameras, grippers, calibration
3D perception basics: point clouds, depth cameras, camera-robot calibration
Rigorous testing mindset: designs repeatable experiments and reports success rates
Tools: Drake, Pinocchio, MuJoCo or Isaac Sim, Meshcat
Control: real-time control loops, controller arbitration, visual serving
Open-source contributions to robotics or robot-learning projects
Proficiency in Rust, Python, C++
We are building the foundation for physical intelligence in general-purpose robotics. We develop a unified framework that enables robots to perceive, reason, learn, and act across diverse real-world environments and embodiments. Dimensional’s mission is to make physical intelligence programmable, scalable, and accessible -- accelerating the development of generalist robots that can adapt, learn, and perform reliably in the real world.