We are seeking a Staff Vehicle Safety Integration Engineer to architect next-generation occupant protection systems for our electric and autonomous fleet. In this high-impact role, you will lead the technical strategy for global safety performance, bridging the gap between high-level requirements and physical validation. You will drive the cross-functional alignment of structures and restraints, ensuring our vehicles exceed the world’s most rigorous safety standards while redefining protection for the age of autonomy.
We are looking for a seasoned technical leader who is deeply passionate about the unique safety challenges posed by autonomous mobility. You should be an expert at bridging the gap between CAE simulation and physical testing, with a sharp eye for data-driven insights and a commitment to mission-critical reliability. If you’re eager to leverage your expertise in global safety standards to redefine protection for the autonomous era, let’s build the future together.
- Lead the end-to-end architecture and development of next-generation occupant protection systems to meet global safety standards and technical targets.
- Define high-level safety requirements and decompose them into actionable engineering metrics, recipes, and module-level targets.
- Manage complex trade-offs between safety and other vehicle attributes while driving collaboration across structures, restraints, and sub-attribute teams.
- Oversee virtual and physical test programs (DVP), manage instrumentation strategies, and monitor technical issue resolution via Jira throughout the vehicle lifecycle.
- Partner with CAE teams to ensure simulation-to-test correlation and provide technical direction to leadership during key project gateways based on data analysis.
- BS or MS in Mechanical Engineering or related technical field
- 10+ years of experience within automotive development and testing, preferably safety testing
- Detailed knowledge of FMVSS, ECE, UN, and other legal and consumer test safety protocols
- Experienced in complete vehicle safety structure and systems development and testing
- Proficiency with LS-Dyna, Hyperworks, Python, Matlab, and/or NI Diadem strongly preferred
- Experience with 3D design and PLM tools, CATIA 3DX or CATIA V5 preferred
- DFMEA knowledge, Experience with requirements management tools (Polarion or equivalent)
- Capable of building and scripting templates for first-pass data integrity checks, results analysis, and reporting
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.
About Zoox
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.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to
[email protected] 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
