Autonomous Vehicle / ADAS Test Specialist

Wealth Recruitment•Sunnyvale, CA
•Onsite

About The Position

The Autonomous Vehicle / ADAS Test Specialist supports the development, testing, and continuous improvement of autonomous driving technology. In this hands-on role, the specialist works directly with development vehicles, software engineers, and vehicle operations teams to execute tests, identify issues, and turn real-world observations into actionable engineering feedback. The position is based fully onsite in Sunnyvale, CA (Automotive) or Sunol, CA (Industrial); candidates must be local to the San Francisco Bay Area. Employees must be available for assigned shifts, including evenings and weekends, and complete 2–3 weeks of weekday training. The role requires authorization to work in the United States without employer sponsorship; corp-to-corp arrangements are not available. Training is Monday–Friday, 9:00 AM–5:30 PM. Automotive schedules are five days per week, with AM shifts of 7:00 AM–4:00 PM or PM shifts of 2:00 PM–11:00 PM and several possible weekly schedule patterns. Hiring priority is the AM shift on the Friday–Tuesday schedule; Monday–Friday AM and PM shifts have the most openings. The Industrial team works four 10-hour days per week, with schedules and shifts varying; listed shifts include 5:00 AM–3:00 PM, 8:00 AM–6:00 PM, and 1:00 PM–11:00 PM. Industrial training begins in Sunnyvale. The site operates 18-hour days, and start times may be adjusted, sometimes as early as 6:00 AM.

Requirements

  • At least 2 years of experience in hardware testing, software testing, technical data collection, or a related technical field.
  • Direct, hands-on experience with autonomous vehicles, ADAS systems, or automotive testing.
  • Working knowledge of common automotive sensors, including cameras, radar, LiDAR, GPS, and inertial measurement units (IMUs).
  • Ability to explain how vehicle sensors contribute to autonomous driving and driver-assistance functionality.
  • Experience distinguishing hardware issues from software performance or functionality problems.
  • Ability to troubleshoot computers, electronic equipment, or other technical systems.
  • Understanding of vehicle testing procedures, including preparation, execution, troubleshooting, and documentation.
  • Strong attention to detail and ability to produce accurate, thorough technical reports.
  • Excellent communication, collaboration, and problem-solving skills.
  • Curiosity about autonomous driving software and complex vehicle systems.
  • Ability to work independently and contribute effectively to a collaborative technical team.
  • Must be local to the San Francisco Bay Area and able to work fully onsite.
  • Must be available for assigned shifts, including evenings and weekends, and for 2–3 weeks of weekday training.
  • Must be authorized to work in the United States without employer sponsorship.

Nice To Haves

  • Familiarity with software development and testing practices.
  • Experience working in Linux environments.
  • Proficiency with collaboration and project management tools such as Slack, Jira, and Confluence.
  • Experience using Google Workspace for documentation, reporting, and communication.
  • Previous experience supporting autonomous vehicle development, validation, or engineering testing programs.

Responsibilities

  • Execute structured test plans on autonomous vehicle and ADAS development vehicles, ensuring accurate execution and reliable results.
  • Collaborate with software engineers, technical specialists, and vehicle operators to refine testing procedures and improve system performance.
  • Identify and troubleshoot potential hardware and software problems, including sensor malfunctions, inconsistent system behavior, and functionality concerns.
  • Capture detailed observations, maintain accurate testing records, and prepare clear, actionable reports for engineering teams.
  • Help prepare vehicles, sensors, equipment, and testing environments before testing begins.
  • Contribute ideas and feedback to improve testing efficiency, accuracy, and operational effectiveness.
  • Promote and follow established safety protocols.
  • Communicate with engineering and operations teams to help achieve testing objectives.
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