Platform System Vehicle Test Engineer

Zoox’s System Design and Mission Assurance (SDMA) team constructs the Safety Case and validates that our vehicles are safe for autonomous driving. SDMA enables Zoox to rapidly iterate and safely expand capabilities through trustworthy, innovative, and pragmatic safety engineering. As a Platform System Vehicle Test Engineer at Zoox, you will be working as part of a multidisciplinary team to develop and test systems that enable and support our robotaxi, ensuring the safety and performance of the closed-loop drive system.

The Platform System Vehicle Test Engineer will have strong technical skills, and a deep understanding of functional safety technical solutions and verification techniques based on ISO 26262 or similar standards. You will be responsible for developing and executing vehicle-level testing for autonomous safety-critical systems.

In this role, you will:

• Develop and execute the technical and logistical planning of vehicle tests including cross-functional coordination with other teams such as systems requirements, firmware, software motion controls, vehicle engineering, and operations
• Design efficient test programs to achieve test coverage of requirements and scenarios, drawing on simulation and analysis where possible
• Analyze system requirements to understand the safety concept
• Maintain traceability between requirements, test cases, and results
• Design, develop, and operate the Zoox Robot, test equipment, and instrumentation systems
• Troubleshoot and debug issues in the field, and trace failures to correct subsystems
• Perform test data analysis and report test results. Define and develop automated data extraction tools to streamline and continuously improve analysis and reporting.

Qualifications

• B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, or Systems Engineering
• 3+ years of test engineering experience in the automobile, robotics, or aerospace industry
• Understanding of vehicle dynamics and vehicle drive and chassis systems (such as motors, brakes, and steering)
• Understanding of control theory and feedback control systems
• Confident with automotive electronics and communication protocols (CAN, LIN, Ethernet)
• Proficiency with test scripting and data analysis languages such as Python or Matlab
• Analytical skills and hands-on experience

Bonus Qualifications

• Experience developing integration and test plans and procedures for safety critical automotive systems, robotic systems, and/or autonomous vehicles
• Familiarity with CAPL
• Experience with Linux Systems, OxTS

$127,000 - $183,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.