Job Description

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

Hardware Engineering is a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.

You will:

• Collaborate closely with application teams to understand how to map new and existing algorithms to GPU, allowing our cars to "see" further, drive smarter, and react faster
• Build high-performance primitives and abstractions that allow for scaling our code-base to constantly evolving workloads and hardware
• Improve and add new compiler optimizations to allow for producing optimal GPU assembly
• Analyze performance counters, GPU micro-architectural features, and SOTA algorithms to identify optimization opportunities
• Contribute to infrastructure that performs testing / static analysis to catch bugs early and creates automated alerts to encourage following best GPU performance practices
• Co-design hardware features and evaluate trade-offs for future generations of our compute platform

You have:

• Strong C++ programming skills
• Advanced degree in Computer Science, similar technical field of study, or equivalent practical experience
• Experience with GPU programming / optimization using CUDA or similar technologies
• Basic knowledge of GPU architecture / programming model
• Experience with using performance analysis tools and debuggers
• Experience with parallel computing/programming

We prefer:

• Experience with LLVM or SPIR-V open-source ecosystems or other compiler projects
• Operating systems or embedded software experience especially working on device drivers
• Skilled at GPU optimization techniques such as memory coalescing, register/shared memory tiling, pinned memory, and warp-level programming
• Experience with GPU libraries such as CUB, CUTLASS, Thrust, or Eigen
• Research experience in parallel algorithms, compilers, or computer architecture
• Experience with graphics workloads and shader programming
• ML frameworks/compiler/library

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.


Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.


Salary Range

$192,000 - $243,000 USD Waymo

Job Tags

Full time, Remote job,

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