Diagnostics Engineer, Autonomous Driving

Tesla is seeking a Diagnostics Engineer for Autonomous Driving Systems, which includes Self-driving software and associated hardware, such as cameras and the self-driving computer. This role is uniquely positioned within our engineering organization as the owner of diagnostic tools and features, acting as an advocate for the end users in our global service operations. A strong technical background in diagnosing complex electrical systems with heavy software content and deployed in safety-critical applications is required. You must be passionate about autonomous vehicles, a strong critical thinker, and capable of understanding technical system-level architecture and issues. As a Diagnostics Engineer in the Vehicle Software organization, you will be reviewing real-world issues, digging into logs and code, and designing enhanced diagnostics that improve the experience for customers and service technicians alike. You won't just report problems; you'll root-cause them, propose solutions, and implement improvements yourself.

Responsibilities

Review and triage field cases: analyze vehicle logs and diagnostic data to root-cause issues across hardware and software Own the diagnostic strategy for autonomous driving features: define what needs to be detected, design the diagnostic approach, and implement it in production code (alerts, automated scripts, and service routines) Optimize repair procedures and guide future product designs to improve serviceability Analyze fleet metrics to identify trends, edge cases, and areas for improvement Support vehicle-level testing and validation of fixes and new features Present insights and recommendations to leadership and cross-functional teams Establish and support a strong feedback loop from Customer Support and Service teams to the development teams focused on autonomous driving, advocating for service and field needs with engineering leadership

Requirements

Strong engineering fundamentals with the ability to diagnose both hardware and embedded software Experience with common communication protocols (CAN, LIN, SPI, Ethernet) Software development skills in C++, Python, and/or JavaScript; able to review, debug, and contribute to production codebases, not just write scripts Experience working with driver assistance and autonomous driving systems (perception, vehicle controls); experience with camera-based perception systems a plus Data analysis skills (SQL, data visualization, basic statistics) Clear written and verbal communication; able to distill complex technical findings into actionable recommendations for engineering, service, and leadership audiences A collaborative but independent working style, comfortable digging into problems autonomously, questioning assumptions Demonstrated experience coordinating successful projects across hardware / software engineering, field service, and customer support teams Prior experience in Formula SAE or experience working on personal cars is a plus