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
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
[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.
