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Tesla Diagnostics Engineer Semi 
United States, California, Palo Alto 
568837646

16.04.2025
What You’ll Do
  • Responsible for supporting Tesla Semi Truck in North America, focusing on chassis and low voltage vehicle sub-systems such as pneumatics (air brakes, air suspension, etc.), steering, wheels/tires, towing, low voltage controllers (including harnesses and CAN), and harnesses
  • Perform diagnostics on field failures both remotely - looking at data logged by the vehicle – and directly in the field with onboard diagnostic tools
  • Respond to customer escalations and issues in real time to support troubleshooting
  • Coordinate with design and development teams to perform further root cause analysis with component owners where necessary
  • Work with quality and manufacturing teams to ensure new issues are fully investigated and that countermeasures are in place
  • Define requirements for on-board diagnostic methodologies and diagnostic alerts, including consideration for third-party shops, and work with the firmware development team to implement
  • Develop and document troubleshooting and remote diagnosis techniques with service technicians, technical support specialists and regional technical specialists
  • Collaborate tightly with Tesla’s hardware and software teams to ensure efficient and economical implementation and validation of new features, components, and systems
What You’ll Bring
  • Degree in Automotive Technology, Electrical Engineering, Mechanical Engineering, Mechatronics or similar, or equivalent experience
  • Minimum 2+ years of experience in automotive industry; a focus on heavy duty trucks or commercial vehicles is a plus
  • Experience testing, validating, diagnosing, and/or designing in the automotive industry; commercial vehicle experience preferred, especially air brakes, air suspension, 24V low voltage architecture, body on frame vehicle architecture
  • Knowledge of vehicle architecture and CAN (controller area networks); familiarity with SAE J1939 a plus
  • Experience with full product life cycles from prototype to production to aftermarket
  • Ability to code in Python preferred; experience with C/C++ a plus
  • Experience with data acquisition, analysis, and processing tools, such as SQL
  • Ability to read and interpret mechanical drawings; experience with CAD systems such as CATIA is a plus