Internship, Electromechanical Product Design Engineer, Optimus (summer 2026)

Tesla Tesla · Auto · Palo Alto, CA · Tesla AI

Internship role focused on electromechanical product design for the Optimus robot, involving CAD design, simulations, DFM reviews, and cross-functional collaboration with mechanical, electrical, software, and firmware engineers. Requires current enrollment in a relevant degree program and proficiency in CAD software, with preferred programming skills in MATLAB/Simulink and/or Python.

What you'd actually do

  1. Develop designs in CAD for both detailed parts and master model assemblies
  2. Perform tolerance analysis, Finite Element Analysis (FEA), and other simulations and analyses before releasing designs for production
  3. Create 2D drawings appropriate for high-volume production and inspection methods
  4. Conduct Design for Manufacturing (DFM) reviews with suppliers and support tooling bring up
  5. Design automated fixtures and calibration equipment for advanced robotics products

Skills

Required

  • Currently pursuing a degree in Mechanical Engineering, Robotics, Mechatronics or a related field
  • Proficiency in designing parts and assemblies using 3D modeling software (CATIA preferred)
  • Strong intuition for structural optimization supported by FEA/hand calculations
  • Good electrical foundation with knowledge about gearbox, motor, inverter, wire harness design
  • Ability to prototype using fabrication, machining, and basic electronics/coding abilities
  • Exposure to a wide variety of test systems, production machinery and hobbyist electronics (pogo-pins, industrial sensors, PLCs, pneumatics, Raspberry Pi, microcontrollers, etc.)
  • Knowledge of GD&T, tolerance stacks, design for manufacturing/automation/test/reliability (DFM/DFA/DFT/DFR). Experience with DFMEA and PFMEA
  • Basic understanding of electrical design fundamentals, as well as familiarity with PCBAs and PCBA components
  • Strong knowledge of materials, fabrication methods for low- and high-volume
  • Analytical background for successful design (tolerance stack-ups, solid mechanics, thermal, cost and mass optimization)

Nice to have

  • Programming skills in MATLAB/Simulink and/or Python are preferred
  • Experience with FFC's, FPC's, and rigid-flex technologies preferred