Member of Technical Staff – Robotics Manipulation
Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026. Dimensional scores B on the Alion truth index.
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.
About This Role
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.
Core 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.
Job 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
Nice to Have
Control: real-time control loops, controller arbitration, visual servoing
Open-source contributions to robotics or robot-learning projects
Proficiency in Rust, Python, C++
Dimensional is an equal opportunity employer committed to diversity and inclusion, supporting all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
At Dimensional, accessibility is a fundamental human right. By welcoming diverse perspectives, we help you build a career where you feel you belong.