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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