The Component and System Hardware Validation team at Zoox is responsible for ensuring our components and sub-systems on the Zoox robotaxi meet all functional and reliability targets needed to facilitate our autonomous mobility service. Our team has an action-biased culture marked by integrity, humility, competence, and passion for the Zoox mission and the systems we design. We are building real
products here and are looking for doers to join us.
As a validation engineer supporting interior trim and seating, you will be responsible for establishing and executing a robust and rigorous validation process from requirements development through report approval. This will include managing internal and external testing resources as well as supplier-led validation activities which ensure durability, reliability, and safety targets are satisfied. You will work closely with cross-functional teams to understand the root causes of failures, identify mitigation strategies, and incorporate learnings into new designs.
- You will develop and manage test plans to validate mechanical, electrical, and environmental failure modes around our interior trim and seating systems
- You will collaborate with design engineers to ensure that requirements are clearly defined and captured within the validation plan
- You will identify appropriate test assets, data acquisition systems, and sensors to ensure high-quality test data
- You will analyze test data to provide clear and concise reporting of test results
- You will support DFMEA activities to ensure that all potential failure modes are adequately covered within the validation plan
- You will support root cause failure analysis activities during development, validation, and deployment
- You will design test fixtures necessary to complete testing
- You will manage the validation schedule to ensure appropriate test assets are available and critical path items are identified
- BS or MS in mechanical engineering, or related relevant field
- 2+ years of test or validation experience related to interior automotive trims and seats.
- Experience with failure and root cause analysis
- Experience generating and managing DFMEAs
- Experience with requirements management tools (Polarion or equiv.)
- Experience with automotive test standards
- Familiarity with 3D design tools. CATIA 3DX or CATIA V5 or SolidWorks preferred
- Experience with passive safety systems
- There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $116,000 to $180,000. A sign-on bonus may be offered as part of the compensation package. 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.
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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.