Diagnostics Engineer
Waymo · Mountain View, CA · 2 days ago
Quality Assurance$159k–$196k/yrFull-time
About the role
This role follows a hybrid work schedule and reports to the Manager of Integration Engineering.
Responsibilities
- Architect and implement robust diagnostics infrastructure, tooling and processes to improve the efficiency of troubleshooting self-driving and base vehicle systems
- Collaborate with subject matter experts on sensing, compute, actuator, and support systems, guiding and supporting them through diagnostics design and improvement
- Lead analysis of sub-system diagnostics gaps and needs, informing future diagnostics investment
- Evolve Waymo’s Diagnostics strategy through technical and organizational leadership
Requirements
- A Bachelors or Masters in EE/ME/CE/CSE or related field
- 3+ years experience working adjacent to or developing diagnostics in automotive, aerospace, or consumer electronics
- Hands-on experience working directly with deployed systems (HW and SW), ideally in a fast-paced automotive or tech environment
- Wide breadth of knowledge in the EE/CE/CS/Mech realm, and can spin up on a new topic very quickly
- Working knowledge of an object-oriented programming language (C++, Python, etc.)
- Demonstrated experience driving diagnostics development for a module, system, or program
Qualifications
- High level understanding of various self driving vehicle systems (sensors, compute, wiring, power, vehicle actuators, chassis communication, controls, etc.), and mastery of one/some
- Automotive-specific diagnostics experience, preferably both traditional J1979 OBD-II-style and modern strategies for SW-defined cloud connected vehicles
- Familiar with modern passenger vehicle control systems
- Ability to interact with both technical and nontechnical teams to solve technical problems
Travel
10%: Onsite visits to service centers and manufacturing facilities
Pay
The expected base salary range for this full-time position across US locations is $159,000—$196,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.