Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle’s software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world’s highest performance automotive compute platforms.

In this hybrid role, you will report to an Engineering Director.

You will:

• Define the architecture and microarchitecture for Waymo's next-generation autonomous vehicle SoCs, translating system-level requirements into detailed hardware specifications and RTL implementation, using your knowledge of how hardware, firmware, drivers, and compilers interact
• Lead microarchitecture and implementation of IPs and subsystems, including for high-performance cache/memory hierarchies, Network-on-Chip (NoC) interconnects, and custom accelerators
• Work with other Architects, Firmware and Software teams to drive feature closure and develop microarchitecture specifications.
• Perform power, area and performance exploration and optimization of digital designs
• Mentor other engineers and guide the technical side of relationships with external vendors, using innovative ideas to solve their design challenges, evaluate and select third-party IP, and ensure a timely and successful tapeout and product

You have:

• MS degree in Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience
• 10+ years of industry experience in ASIC/SoC digital design, microarchitecture, and integration, including ownership of major design blocks or subsystems
• Proven track record of technical leadership driving design and execution from concept to production, and hands-on experience with multiple successful ASIC tapeouts
• Deep expertise in SystemVerilog for RTL design, microarchitecture, and integration
• Strong understanding of computer architecture, memory systems, cache coherence, and high-speed on-chip interconnects
• Fluency in programming/scripting languages (e.g., Python, C++) for architectural modeling, design automation, and debug
• Strong debug and problem-solving skills, with the ability to root-cause complex issues across hardware and software boundaries

We prefer:

• PhD degree in Computer Engineering, Electrical Engineering, or a related field
• Experience in hardware/software co-design, including in mixed hardware/software datapaths, such as in the context of DSPs, GPUs, and ML accelerators
• Knowledge of arithmetic units, processor design, accelerators, bus architectures, fabrics/NoC or memory hierarchies.
• Knowledge of high performance and low power design techniques
• Fluency and comfort with AI tools to accelerate and improve design and debug
• Experience with Chisel (Scala) or other hardware DSLs for RTL generation