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Waymo

Builds self-driving AI and runs a robotaxi service

ASIC Design Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAHybrid

About the Job

Requirements

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

Responsibilities

  • 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 to accelerate the development cycle.
  • Define and analyze functional and code coverage metrics to ensure design readiness and closure.
  • Advocate and establish verification best practices.

Desired Qualifications

  • Experience spanning initial specification through post-silicon bring-up and validation.
  • Familiarity with power-aware verification using UPF, formal verification, or hardware-software co-validation.
  • Domain expertise in machine learning accelerators, high-speed interconnects such as 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 large language models to accelerate verification workflows, such as automated testbench generation, documentation, or failure log analysis.

About the Company

Waymo

Builds self-driving AI and runs a robotaxi service

Waymo builds self-driving technology and uses it to run a ride-hailing service in which passengers summon electric cars with no one behind the wheel. In 2020, it became the first company to open fully driverless rides to the public, starting in metro Phoenix. Its system, the Waymo Driver, pairs cameras, radar and laser sensors called lidar with onboard computers whose AI predicts what nearby people and vehicles will do and drives the car. Riders pay per trip through the Waymo app, or through Uber in some cities, while Waymo and fleet partners keep the cars charged and maintained. Waymo began as a Google project in 2009 and became a separate Alphabet company in 2016; it is based in Mountain View, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$32.1B
Headquarters
Mountain View, CA
Founded
2009

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