Mechatronics Intern

Physical Intelligence • San Francisco, CA

1d

About The Position

Fundamentally, a builder. Someone who loves to make robots real. We want someone who’s as comfortable debugging a CAN bus issue as they are machining a bracket — an individual who thinks in systems, and who gets excited by tight integration between mechanical, electrical, and embedded design. You’ll join the core Hardware Engineering team at Physical Intelligence who is supporting the robots that power PI’s data collection and model training operations.
The core Hardware Engineering team designs and builds the robotic arms, mobile platforms, and end-effectors that underpin PI’s data collection and model training operations. They work across mechanical, electrical, embedded, and software disciplines to iterate quickly on prototypes, bring up new subsystems, and keep the fleet performant in real-world environments.

Requirements

• Completed 3A Mechanical or Mechatronics Engineering. Students below 3A with exceptional projects, GitHubs, portfolios, and work experience will also be considered.
• Strong mechanical and electromechanical design fundamentals (dynamic loading, FEA, DFM).
• Familiarity with embedded and mechatronic systems (CAN, BLDC control, motor controllers).
• Proficiency in CAD (NX, OnShape, SolidWorks) and rapid prototyping tools (3D printing — SLA and FDM — laser cutting).
• Basic electrical design and debug (schematics, soldering, test equipment).
• Data-driven debugging and test planning (Python, MATLAB, or similar).

Nice To Haves

• Exposure to manufacturing or assembly environments.
• Prior experience in robotics, autonomous systems, or hardware startups.

Responsibilities

• Design, build, and test key subsystems for various robotic arms and mobile platforms — including actuation, sensing, enclosures, and power systems.
• Work hands-on with prototypes in our hardware lab, including bring-up, assembly, calibration, and reliability testing of arms, lifts, mobile bases, and end-effectors.
• Integrate cross-disciplinary inputs from mechanical, electrical, and software teams to root-cause mission-critical issues and drive high-level system performance.
• Analyze data from deployments to inform design iteration and reliability improvements.
• Own the full stack of a subsystem from CAD to PCB to bench testing.

What This Job Offers

• Career Level: Intern
• Education Level: Associate degree