Hardware Engineer

WayveSunnyvale, CA
3d

About The Position

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.

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
  • 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

Nice To Haves

  • 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

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
  • Create design and product specification documentation for electronics hardware
  • Work with suppliers and manufacturing partners to ensure design robustness and production readiness
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