Hardware Systems Intern
Physicalintelligence
Posted: November 10, 2025
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Quick Summary
We are seeking a Hardware Systems Intern to join our team and contribute to the development of foundation models and learning algorithms for robot hardware.
Required Skills
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 Responsibilities
• 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
Required Skills:
• Completed their 2nd year of Mechanical or Mechatronics Engineering. Students with exceptional projects, GitHub's, portfolios and work experience that are below their 2nd year will also be considered.
• 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.
• 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.