Autonomous Vehicle / ADAS Test Specialist

Wealth Recruitment, LLC•Sunol, CA
•$83,200 - $83,200•Onsite

About The Position

The Autonomous Vehicle / ADAS Test Specialist supports the development, testing, and continuous improvement of autonomous driving technology. This hands-on role works directly with development vehicles, software engineers, technical specialists, and vehicle operations teams to execute structured tests, identify issues, and turn real-world observations into actionable engineering feedback. The position is fully onsite in Sunnyvale, California, for the Automotive team or Sunol, California, for the Industrial team. Candidates must be local to the San Francisco Bay Area and authorized to work in the United States without employer sponsorship. The schedule is flexible by assigned shift and may include evenings and weekends. All hires attend weekday training from 9:00 AM to 5:30 PM for the first 2–3 weeks. Automotive schedules are five days per week; Industrial schedules are four days per week, ten hours per day, with listed shift and floater arrangements. Industrial team training begins in Sunnyvale. The site runs 18-hour days, and shifts may start as early as 6:00 AM, so candidates should be open to adjusting their start time. Corp-to-corp arrangements are not available.

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 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 identifying and distinguishing hardware-related issues from software-related 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.
  • Genuine 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 in Sunnyvale, CA, or Sunol, CA.
  • Must be authorized to work in the United States without employer sponsorship.
  • Must be available for assigned shifts, including evenings and weekends, and for 2–3 weeks of weekday initial training.
  • Industrial team candidates should be open to adjusting their start time; shifts may start as early as 6:00 AM.

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.
  • Follow and promote established safety protocols in the testing environment.
  • Communicate and work cross-functionally with engineering and operations teams to achieve testing objectives.
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