Chassis Controls Engineer

At Zoox, you will be a member of the Chassis Actuators team responsible for component and system requirements, testing and reporting, and collaborating on vehicle system integration issues. In this role, you will work closely with the Chassis Engineering team to coordinate the execution and delivery of engineering milestones by working cross-functionally with Vehicle Integration and Attributes, Functional Safety, Electrical Integration, Software, and other teams. In addition, the candidate will work with tier one suppliers to design and develop the controller and evaluate component-level test results.

• Develop and integrate embedded control software for active suspension systems.
• Design, implement, and validate control algorithms for actuators, sensors, and ECUs.
• Plan, execute, and/or oversee validation activities for actuator components and systems, including test instrumentation, test execution, data analysis, and test reporting.
• Collaborate and coordinate a range of activities across various Zoox functions to ensure efficient and timely development to meet program milestones.
• Coordinate troubleshooting and reporting of component and subsystem-related vehicle issues, including issue reporting and tracking using tools such as Jira, Confluence and Polarion.
• Execution of engineering disciplines such as SFMEA, disciplined problem solving, DVP&R/PVP&R, engineering sign-off, etc.

• Bachelor's degree or Master's in mechanical, electrical, or related engineering and 7+ years of experience in embedded control systems engineering related to active suspension or similar automotive systems.
• Experience designing and validating control algorithms for electro-hydraulic/mechanical systems.
• Understanding of control systems theory and real-time embedded software.
• Proficiency in C/C++ and simulation tools (e.g., MATLAB/Simulink).
• Experience with requirements management, testing, and vehicle development.
• Knowledge of automotive functional safety standards (ISO 26262).

• Experience with RTOS, automotive diagnostics, and data analysis.
• Simulation experience and analytic modeling tool usage.
• Supplier experience and launch experience.
• CAN communications and vehicle networking skills.

Compensation

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 $146,000 to $239,000. 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.

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 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.