Senior Chassis Engineer - Actuators/Brakes

Senior Chassis Engineer - Actuators/Brakes

Foster City, CA

Vehicle Development - Body, Closures and Chassis /

Full-time /

On-site

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At Zoox, you will collaborate with a world-class, multidisciplinary engineering team spanning AI, robotics, mechatronics, computer vision, and automated testing. Because a robot is in control of the vehicle, you will be constantly challenged to rethink traditional engineering paradigms to design elegant, ultra-efficient hardware systems from the ground up. Working in this agile, forward-thinking environment gives you the unique opportunity to manifest your creativity, push the boundaries of vehicle dynamics, and directly shape the future of autonomous mobility.

As an engineer on the Chassis Actuator team specializing in Braking Systems, you will hold end-to-end design and release responsibility for the components powering our innovative autonomous braking platform. Sitting at the intersection of hardware and software, you will lead the development, execution, and delivery of critical engineering milestones for an active chassis system.

You will manage Tier 1 supplier relationships to deliver high-performance hardware and brake controls software while aggressively meeting cost, weight, timing, and performance targets. Your scope will span from core component development to system integration support and hands-on vehicle-level testing and CAN signal analysis. Working in a highly cross-functional environment, you will bridge the gap between physical hardware and autonomous execution, collaborating daily with Vehicle Integration, Functional Safety, Firmware, and Validation teams to bring our next-generation vehicle to life.

In this role, you will:

• Own the product lifecycle of the Zoox robotaxi brake system from initial concept through production, managing the development of mechanical hardware, software, and complex electromechanical systems.
• Design and release 3D CAD models and 2D drawings with appropriated GD&T for both internal fabrication and external supplier production.
• Define and manage comprehensive component and system requirements, encompassing mechanical, electrical, NVH, static and dynamic loading, mass, and thermal-mechanical domains, to guarantee robust performance and integration of the braking system.
• Lead component testing and characterization, which includes developing innovative testing methodologies, analyzing complex data, and validating system integrity.
• Manage strategic supplier engagements to co-develop component designs, review engineering documentation, and ensure on-time delivery of critical hardware and software.
• Partner with cross-functional Zoox teams, including Packaging, Manufacturing, and Assembly, to support the seamless integration, bring-up, and operation of the vehicle.
• Collaborate with multidisciplinary experts in AI, Mechatronics, Computer Vision, and Robotics to unlock and leverage the unique capabilities of the Zoox autonomous robotaxi platform.

Qualifications:

• Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or a related field with 8+ years of industry experience.
• Proven track record of designing and releasing complex components using advanced 3D CAD tools (ideally CATIA V5/V6 or 3DX) and authoring 2D production drawings utilizing ASME Y14.5 GD&T standards.
• Experience developing hydraulic brake actuation systems and managing brake controls development timelines at an automotive OEM or large Tier 1 supplier.
• Deep technical understanding of hydraulic systems, friction materials, electrical integration, system architecture, NVH mitigation, functional safety, and mass target management.
• Demonstrated experience authoring technical requirements and executing validation test plans across component, Hardware-in-the-Loop (HIL), and full-vehicle test assets.
• Strong familiarity with automotive product development processes (e.g., APQP, phase-gate reviews) and a proven ability to manage long-term engineering schedules and deliverables.

Bonus Qualifications:

• Master's or Ph.D. a plus
• CAN & Network skills
• Vector CANalyzer/CANoe, dSPACE experience
• Polarion, Jira, and Confluence experience.

$187,000 - $225,000 a year

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

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