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. This fall, 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 Team
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.
In This Role You Will
Subsystem Design & Test: Design, build, and test key subsystems for various robotic arms and mobile platforms — including actuation, sensing, enclosures, and power systems.
Hands-On Prototyping: 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.
Cross-Disciplinary Integration: Integrate cross-disciplinary inputs from mechanical, electrical, and software teams to root-cause mission-critical issues and drive high-level system performance.
Data-Driven Iteration: Analyze data from deployments to inform design iteration and reliability improvements.
Full-Stack Subsystem Ownership: Own the full stack of a subsystem from CAD to PCB to bench testing.
What We Hope You’ll Bring
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).
Bonus Points
Exposure to manufacturing or assembly environments.
Prior experience in robotics, autonomous systems, or hardware startups.
The duration of this internship is January-May 2027.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Skills Required
- Completed 3A Mechanical or Mechatronics Engineering; exceptional students below 3A may be considered with strong projects, GitHub repositories, portfolios, or work experience.
- Strong mechanical and electromechanical design fundamentals, including dynamic loading, FEA, and design for manufacturing.
- Familiarity with embedded and mechatronic systems, including CAN, BLDC control, and motor controllers.
- Proficiency with CAD tools such as NX, Onshape, or SolidWorks.
- Experience with rapid prototyping tools, including SLA or FDM 3D printing and laser cutting.
- Basic electrical design and debugging skills, including schematics, soldering, and test equipment.
- Data-driven debugging and test planning using Python, MATLAB, or similar tools.
- Exposure to manufacturing or assembly environments.
- Prior experience in robotics, autonomous systems, or hardware startups.
What We Do
Physical Intelligence is bringing general-purpose AI into the physical world, developing foundation models and learning algorithms to power robots and other physically-actuated devices.
