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Hardware Systems Intern

United States, San Francisco · Job Posted February 21, 2026
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Job Description

Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.

Job Responsibility

  • Deeply engaging with problems at the intersection of mechanical, electrical and controls for robot hardware
  • Ability to take an ambiguous problem, root-cause it and design and build a solution that addresses it
  • Leading data collection and reliability analysis to identify recurring failure modes, logging uptime/cycles, and supporting root-cause investigations (RCCA/FMEA)
  • Developing a failure pareto identifying the core issues that cause robots to fail and when
  • Collaborating with mechanical, electrical, and software engineers to track system performance across builds and deployments
  • Building tools, jigs and architecting processes that make robot fleet faster, safer, and more reliable
  • Running and improving test protocols for new hardware releases, field repairs, and after-service verification
  • Supporting hardware builds and production operations
  • Tracking inventory, materials and vendors
  • Helping implement configuration, serialization, and test tracking systems to enable quick service and replacement of our systems

Requirements

  • Completed their 2nd year of Mechanical or Mechatronics Engineering
  • Familiarity with power analyzer, oscilloscopes and debugging of electromechanical systems with a strong understanding of control systems and communication protocols (CAN, ethernet, high and low speed systems)
  • Basic scripting (Python, Bash) or data visualization for fleet analytics
  • Exposure to program management tools including Notion, Linear or an ability to create strong processes with Excel and google docs
  • Thrive in fast, interdisciplinary environments with tangible outcomes

Nice to have

  • Prior experience with hardware lab, prototype or production setups either in the automotive, consumer electronics or robotics space is a plus
  • Prior co-op experience in robotics, manufacturing, or product engineering is highly preferred

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