Physical Intelligence
Mechatronics Intern
San Francisco · Intern · Internship
Sponsorship not specifiedDetected 30 days ago
PythonMATLABFull-Stack DevelopmentSolidWorksFEAPCB DesignRoboticsElectrical EngineeringHardware Design
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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- 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.
- 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.
- What We Hope You'll Bring - Completed 3A Mechanical or Mechatronics Engineering.
Responsibilities
- Subsystem Design & Test: Design, build, and test key subsystems for various robotic arms and mobile platforms - including actuation, sensing, enclosures, and power systems.
- 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.
- Strong mechanical and electromechanical design fundamentals (dynamic loading, FEA, DFM).
- Basic electrical design and debug (schematics, soldering, test equipment).
Nice to have
- Completed 3A Mechanical or Mechatronics Engineering.
- Students below 3A with exceptional projects, GitHubs, portfolios, and work experience will also be considered.
- 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).
- Data-driven debugging and test planning (Python, MATLAB, or similar).
- Exposure to manufacturing or assembly environments.
- Prior experience in robotics, autonomous systems, or hardware startups.
Company info
- 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.
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