Internship, Systems Integration Engineer, Body Controls (fall 2026)

Tesla Tesla · Auto · PALO ALTO, CA · Vehicle Software

Internship role focused on systems integration for Tesla's body controls, involving defining requirements, contributing to architecture, and collaborating with hardware and firmware teams on embedded systems. Requires a background in mechatronics or related engineering fields.

What you'd actually do

  1. Support system integration tasks from concept to production
  2. Define system requirements, vehicle behaviors, and performance specifications that are measurable, testable, and manufacturable
  3. Contribute to architectural decisions for body controls systems, evaluating communication protocols, control strategies, and hardware-software partitioning
  4. Collaborate with electrical and mechanical hardware teams to define interfaces, instrumentation points, and validation strategies early in the design cycle
  5. Aid in calibration and tuning of electromechanical systems to meet performance and user experience goals

Skills

Required

  • Currently pursuing a degree in Mechatronics, Electrical Engineering, Computer Engineering, Systems Engineering, or a related field of study with a graduation date between December 2026 – December 2027
  • Strong foundation in both hardware and software fundamentals with ability to bridge electrical schematics and firmware architecture
  • Experience with embedded communication protocols
  • Understanding of motor control, sensing systems, and electromechanical system behavior
  • Ability to read electrical schematics and use lab equipment (oscilloscopes, power supplies, multimeters) for bring-up and troubleshooting
  • Familiarity with Embedded C to review firmware and collaborate effectively with developers on implementation details
  • Experience defining requirements from high-level vehicle behaviors and making them measurable and testable
  • Ability to design simple automation tools, test scripts, or parsers to improve bring-up and validation efficiency
  • Bias toward incremental progress, systematic problem-solving, and explicit risk-based decision making

Nice to have

  • Experience with safety-critical systems, functional safety concepts, or automotive validation processes