Robotics CAE Engineer, Optimus Gears - Palo Alto [261052]

$108,000 - $264,000 yearly

Job Description

The Tesla Robotics Team designs and builds humanoid bi-pedal robots (Optimus) to perform tasks that are boring, repetitive, and dangerous for humans. As a CAE Engineer, you will guide the structural design of gears and gear assemblies using high-fidelity FE models grounded in sound engineering principles. Working closely with mechanical, electrical, controls, software, and manufacturing teams, you’ll analyze and optimize designs, challenge traditional CAE methods, and pioneer more efficient, accurate approaches. This role places you at the forefront of critical design and engineering decisions, shaping a robust and reliable humanoid robot that has never been executed before.

The Role

  • Conduct Loaded Tooth Contact Analysis (LTCA) to predict contact patterns, transmission error (TE), and contact stresses under peak torque and duty-cycle loads
  • Define and optimize gear micro-geometry corrections (crowning, tip/root relief, twist) to compensate for system deflections and minimize gear whine and rattle
  • Integrate flexible housing and shaft FEA models into drivetrain simulation environments to accurately predict misalignment at the gear mesh
  • Move beyond component-level analysis to perform full system-level simulations, accounting for housing flexibility, shaft deflection, and thermal effects to balance durability requirements with NVH targets
  • Collaborate with Test Engineering to design experiments and validate simulation models against physical dyno data, tuning models based on contact pattern mark-outs and NVH measurements
  • Partner with Design Engineers to iterate on macro-geometry parameters (module, pressure angle, helix angle) to achieve optimal power density and provide data-driven product guidance
  • Establish and maintain modeling standards, methods, and best practices for current and future programs

Requirements

  • Degree in Mechanical Engineering or related field, or equivalent experience
Anthony Antonucci

Qualifications

Relevant experience in Tesla AI; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No