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-generation compute systems and define the technical roadmap at the 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 compute 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

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 managing engineering teams or mentoring junior engineers

Experience in functional safety/ISO 26262/FMEA

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

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 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.

Senior Staff / Principal AI & Compute Architect