Member of Technical Staff – Robotics Manipulation at Dimensional in San Francisco
- Company: Dimensional
- Location: San Francisco
- Posted: Sep 24, 2026
- Type: Full-time
- Experience: 3+ years
Overview
Application 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 adv…
Job description
- Application
- 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.
Responsibilities
- 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.
Requirements
- 3+ years in robot 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 servoing
- Open-source contributions to robotics or robot-learning projects
- Proficiency in Rust, Python, C++
Skills
Required
- Python
- PyTorch
- Drake
- Pinocchio
- MuJoCo
- Isaac Sim
- Meshcat
- SE(3)
- rigid-body transforms
- Jacobians
- forward/inverse kinematics
- motion planning
Preferred
- real-time control loops
- controller arbitration
- visual servoing
- Rust
- C++
About Dimensional
Dimensional is 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. 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—Dimensional allows developers and partners to build, transfer, and operate robotic skills efficiently across platforms.