Skip to content
← Physical Intelligence

Prototype Engineer

Physical Intelligence · San Francisco

CHECKED 14H AGO

Roboticsonsitemid-level
Apply on the lab’s site ↗

At a glance

Highlights

  • Rapidly design and build prototypes that push robot capabilities.
  • Translate research ideas into physical systems for real-world interaction.
  • Turn successful prototypes into scalable solutions across hardware fleet.

Ideal candidate

A hands-on engineering generalist who thrives bridging research and hardware, loves rapidly building and iterating physical systems, and excels in fast-paced, ambiguous environments.

Requirements

  • Bachelor's degree in Mechanical, Electrical, Mechatronics Engineering or related field
  • 2-5 years of experience in prototyping, R&D engineering, or hardware development, ideally in robotics, automotive, consumer electronics, or lab environments
  • Proficiency in CAD software (Onshape, SolidWorks, or Fusion 360) with strong 3D modeling and drafting skills
  • Working knowledge of PCB design and electronics, including soldering, wiring, schematics, and sensor integration
  • Hands-on expertise with rapid prototyping methods: 3D printing, laser cutting, CNC machining, sheet metal and manual machining
  • Familiarity with robotics including kinematics, actuation, and compliant mechanisms for unstructured environments
  • Ability to build full first-pass systems end-to-end from mechanical structure through electrical integration to basic scripting
  • Strong communication skills bridging researchers and engineers to translate abstract needs into tangible concepts
  • Comfort working in fast-paced, ambiguous environment where requirements evolve quickly
  • Experience with basic Python scripting for test automation and hardware interfacing is a plus

Lab profile

About Physical Intelligence

Developing general-purpose AI foundation models to power robots for any physical task.

What they build

  • General-purpose robot foundation models
  • Learning algorithms for robot control
  • Robotic systems and platforms

Known for

  • Foundation model and system-building research
  • Large-scale multimodal robot data operations
  • Real-world fleet deployment and operations
  • Prototype-to-production hardware engineering
More about Physical Intelligence →
Apply on the lab’s site ↗