Hardware Engineer

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

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.

Key Responsibilities

• 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

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Responsibilities

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

Requirements

• 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

• 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

Desirable Experience

• Knowledge of networking systems and protocols (Ethernet, TCP/IP, etc.)

• Familiarity with NVIDIA and Qualcomm SoC applications

• 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. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

For US candidates only, please visit E-Verify Notice and Participation and Right to Work

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.