Manager, Firmware Engineering

Join the SPP Architecture team at Zoox! We're looking for a hands-on manager to support a team of engineers working on the next-generation Zoox platforms and products. You and your team will work with other engineering teams across Zoox to design complex systems and components, producing analysis, design, and architecture documents and requirements. In addition, you will be deeply involved in planning and scoping these high-impact projects, working with product teams, project managers, and engineering managers to drive them to completion.

In this role, you will:

• You will manage a team of firmware, software and systems engineers delivering high-impact designs across multiple vehicle compute platforms.
• Your team will work across the entire life cycle of the project, from initial project feasibility studies to product rollout and ongoing support.
• You will work closely with our hardware and electrical engineering, power, vehicle systems integration, safety, firmware, production software, and autonomy teams.
• You will also work with external automotive providers, tools, and library vendors to select appropriate solutions to meet our engineering needs.
• You will represent the Software Platforms and Product organization on various internal technical and product boards.

Qualifications

• 10+ years of engineering experience, with 5+ years of engineering management experience.
• Hands-on experience with firmware engineering, including design, bring-up, feature development, deployment and ongoing support.. Can work comfortably with hardware and electrical engineering teams, including design input, schematic review, and requirements development.
• Automotive or safety-critical software/firmware development experience (e.g. ISO 26262), including participating in HARA and FMEA processes.
• C and C++.

Bonus Qualifications

• Experience designing complex engineering systems with functions across multiple ECUs, including networking and time sync considerations.

$241,000 - $289,000 a year

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 $241,000 to $289,000. 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 [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.