System Integration & Verification Engineer

Zoox's Hardware Software Integration team is responsible for ensuring various hardware subsystems work reliably on our vehicle platform on a day-to-day basis. You will oversee the deployment of next-generation compute, sensor, and data networking systems for autonomous vehicles.

This role is essential and fundamental to the execution stage of Zoox's vehicle program, ensuring that hardware systems operate predictably at all times. This team is the first line of defense for any issues with our vehicle fleet. You will have excellent communication skills and are excited about being the first responder to triage and debug difficult hardware-software integration issues. You will also be responsible for supporting bring-up and manufacturing operations for the vehicle.

• Lead and drive debugging of hardware-software issues to closure. Identify and work with key cross-functional partners to root cause and provide resolution.
• Provide feedback to engineering teams to improve future product versions.
• Understand the vehicle assembly and test requirements and come up with test plans and specifications to support manufacturing operations.
• Develop test automation, leverage in-house analysis tools to perform debugging and improve test coverage, and enhance test infrastructure.
• Develop new processes and human workflows to improve fleet stability.

• BS or MS in Electrical Engineering, Computer Science, or related fields with a minimum of 5+ years of relevant industry experience.
• Experience and skill in determining the root cause of complex issues involving HW, FW, and SW.
• Experience with hardware interfaces such as Ethernet, CAN, USB, UART, LIN, I2C, SPI, etc., and related testing/debugging tools.
• Familiarity with requirements and test case development.
• Fluency in Python or similar scripting language, git/version management tools, SW debugging tools.

• Working knowledge of requirements management tools such as Polarion/JIRA.
• Strong EE fundamentals with familiarity in microcontroller-based systems, high-speed signals, sensing, and power electronics.
• Working knowledge of schematic design, PCB layout, and electrical characterization equipment (oscilloscopes, spectrum analyzers, etc.).

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 $150,000 to $200,000. 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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to 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.