Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are seeking an experienced Hardware Engineer to join our Hardware team and play a key role in developing next-generation autonomous driving compute platforms. This role focuses on low-level electronics design, embedded systems, and high-performance compute integration translating autonomy requirements into robust, scalable hardware systems.
You will work hands-on with cutting-edge computing platforms, collaborating across hardware, software, and systems teams to design, bring up, and validate mission-critical electronics that enable embodied AI.
Design and develop embedded electronics systems for autonomous driving applications
Architect and implement compute platforms for ML workloads
Collaborate with software and autonomy teams to optimize hardware for performance, reliability, and scalability
Own board-level design, bring-up, validation, and debugging across hardware and software boundaries
Develop high-speed interfaces such as PCIe, Ethernet, USB, and related technologies in an automotive environment
Work with mechanical engineering teams to design robust electronics hardware
Lead schematic design, PCB layout reviews, and signal integrity considerations
Create design and product specification documentation for electronics hardware
Work with suppliers and manufacturing partners to ensure design robustness and production readiness
7+ years of experience in electronics or embedded systems design
Strong experience with board-level design, bring-up, and debugging
Deep understanding of embedded systems and compute architectures
Experience with high-speed digital interfaces (e.g., PCIe, Ethernet, USB)
Strong debugging skills across hardware and software systems
Familiarity with Linux-based systems and embedded environments
Proficiency in at least one programming language (e.g., C, C++, Python)
Ability to architecture and analyze complex systems
Strong communication skills and ability to collaborate across multidisciplinary teams
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field
Experience designing hardware for AI/ML workloads or high-performance computing systems
Experience with signal integrity, power integrity, and high-speed PCB design
Knowledge of networking systems and protocols (Ethernet, TCP/IP, etc.)
Experience with firmware or low-level software development (bootloaders, drivers, BSPs)
Familiarity with NVIDIA and Qualcomm SoC applications
Experience working with contract manufacturers and scaling hardware to production
Autonomous vehicle, robotics, or other safety-critical system experience
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $185,800 to $247,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Wayve is building the next generation of autonomous driving technology. They are developing an end-to-end autonomous driving system that uses deep learning and AI to enable vehicles to navigate roads and environments.