Mechatronics Intern
- Location
- San Francisco, CA · On-site
- Job type
- Internship
- Level
- Entry level
- Listed
- 30 days ago
Skills & highlights for this role
- CAD (SolidWorks, NX, OnShape)
- CAN bus
- BLDC motor control
- FEA
Also useful
- Python
- MATLAB
- 3D printing (SLA/FDM)
- PCB design
About the role
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 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.
Equal opportunity and legal notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
From Physical Intelligence's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Mechatronics Intern job at Physical Intelligence located?
This Mechatronics Intern position at Physical Intelligence is located in San Francisco, CA (On-site). Always check Physical Intelligence's application page for specific state eligibility or relocation policies.
What qualifications are required for Mechatronics Intern at Physical Intelligence?
For the Mechatronics Intern role, Physical Intelligence highlights experience with CAD (SolidWorks, NX, OnShape), CAN bus, BLDC motor control, FEA. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Mechatronics Intern position at Physical Intelligence?
This listing links directly to Physical Intelligence's Ashby application page. You can apply directly on Physical Intelligence's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.