AI Hardware Architect

Zoox's Advanced Hardware Engineering team is responsible for the design, development, and innovation of sensor technology, networking, and the main compute platform for our vehicles. In this role, you will work within a multi-disciplinary engineering team to architect our next generation Compute platforms, both on-vehicle and in-cloud. You will leverage your industry experience and analytical mindset to ensure Zoox remains at the leading edge of autonomous driving through careful balancing of hardware ranging from off-the-shelf to full-custom silicon.

This is a hands-on role that will directly interface with top executives and practitioners alike, and will shape the future of Zoox to ensure our competitive success.

In This Role, You Will

• Provide engineering leadership for high-performance Compute modules
• Architect next generate compute systems and define the technical roadmap at system and silicon level
• Work extensively with cross-functional teams (software, mechanical, vehicle-integration, data-flow architects) to ensure product success. This will include frequent executive level presentations.
• Drive teams to consensus in an environment of passionate stakeholders
• Demonstrate technical ownership and leadership of your program from concept through to fleet deployment
• Able to support assessment and optimization our training platforms
  
  

Qualifications

• BS or MS in electrical/computer engineering or equivalent
• 15 years of professional work experience
• Solid electrical engineering fundamentals
• Deep understanding of optimizing hardware to support AI/ML software
• Track record of successful complex product delivery
• Experience in computer system architecture design and optimization
• Experience managing engineering teams and mentoring junior engineers
• High-speed motherboard design and architecture
• Working knowledge of schematic design and PCB layout tool (Altium Designer preferred)
• Passion for problem-solving (both technical and organizational)
• Experience with CM, ODM, and JDM models, as well as working with silicon vendors
  
  

Bonus Qualifications

• Experience optimizing cloud (AWS) resources for model training
• Experience in functional safety/ISO 26262/FMEA
• Experience taking products through full EMC
• Experience in automotive/EV/AV/aerospace/space or similar industries
• Experience in software/automation development
• Hands-on lab experience, such as soldering, and experience with lab equipment (power supplies, signal generators, oscilloscopes, spectrum analyzer)
• Familiarity with common industry technologies and protocols, including GPUs, CAN, Ethernet, GNSS, GMSL, NVMe, M.2, PCIe, optical networking, Linux, QNX
  
  

$287,000 - $410,000 a year

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.