Member of Technical Staff – Robotics (Manipulation or Navigation)

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 and/or navigation systems.

• Deploy and operate robotic systems on real-world hardware.

• Work across perception, planning, control, and end-to-end software integration.

• Debug, iterate, and improve real-world robotic behavior in production environments.

• Collaborate closely with software and infrastructure teams to deliver robust, integrated systems.

What We Look For

• Relevant industrial or research experience in SLAM, Motion Planning, Controls.

• Experience deploying robotics systems. Field Robotics or Systems Engineering is highly regarded and prioritized.

• Comfort working across the full robotics stack, from perception and planning through control and system integration.

Preferred Qualifications

• Educational background from leading robotics or computer science programs (e.g., MIT, CMU, Penn, Caltech, or equivalent institutions).

• Industry experience working with robotic arms, mobile robots, quadrupeds, or similar robotic platforms.

• Demonstrated experience transitioning robotic systems from prototype or research stages into production environments.