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.

This role follows a hybrid work schedule and you will report to a Silicon Engineering Lead

You will:

• Partner with design and architecture teams to translate hardware specifications into comprehensive, scalable verification plans
• Drive the development of testbenches, reference models, and stimulus to validate mission-critical functionality and performance
• Architect and enhance verification environments, contributing to shared tools and reusable methodologies across the organization
• Evaluate, integrate, and verify third-party Verification IP (VIP) to accelerate the development cycle
• Define and analyze coverage metrics (functional and code) to ensure design readiness and closure
• Advocate and establish verification best-practices

You have:

• 3+ years of experience building and maintaining complex testbenches using UVM/SystemVerilog
• Proven track record with constrained-random generation, functional coverage, and SVA (SystemVerilog Assertions)
• Deep understanding of complex digital logic and the ability to debug intricate hardware/software interactions
• Proficiency in Python for developing scalable automation frameworks, data analysis tools, and regression management suites
• Excellent verbal and written communication skills, ability to collaborate with cross-functional teams
• Strong analytical skills in root-causing failures across RTL, testbench, and environment layers

We prefer:

• Experience spanning initial specification through post-silicon bring-up and validation
• Familiarity with power-aware verification (UPF), formal verification, or hardware-software co-validation
• Domain expertise in ML accelerators, high-speed interconnects (NoCs), or high-bandwidth memory
• Experience with C/C++ for reference model development and enhancement
• Hands-on experience with industry-standard interfaces such as PCIe Gen 5/6, DDR5, or Ethernet
• Interest or experience in leveraging Generative AI and LLMs to accelerate verification workflows, such as automated testbench generation, documentation, or failure log analysis