Waymo is an autonomous driving technology company with the mission to be the world's 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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
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 Manager.
You will:
- Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across diverse GPU backends
- Collaborate with Waymo's internal hardware team and external partners on SoC projects with a focus on the GPU portion
- Manage the bring-up, correctness, and performance of the Waymo onboard stack on new GPU platforms
- Contribute to testing infrastructure that enhances the CI/CD flow for GPUs, detects bugs early, and generates automated alerts to maintain the GPU stack's functionality and performance
- Create profiler and debugger tools for new GPU platforms
You have:
- Proven expertise in C++ programming
- Bachelor degrees in EECS, coupled with a minimum of three years of industry experience
- Experience with full-system simulation frameworks (SystemC, Gem5 or similar)
- Solid understanding of GPU hardware architecture
- Proficiency in utilizing performance analysis tools and debuggers
- Enthusiasm for developing the complete GPU software stack, from the hardware level to real-world applications
We prefer:
- Knowledge of Linux device drivers and embedded firmware
- Experience with diverse GPU deployment environments
- Proficiency in GPU optimization techniques, including memory coalescing, register/shared memory tiling, pinned memory, and warp-level programming
- Familiarity with GPU libraries such as Thrust, CUB, CUTLASS, or Eigen
- Experience collaborating with external operators to ensure high quality standards
- Experience contributing to open-source compiler projects such as LLVM or SPIR-V
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.
Skills Required
- Proven expertise in C++ programming
- Bachelor degrees in EECS with minimum of three years of industry experience
- Experience with full-system simulation frameworks such as SystemC or Gem5
- Solid understanding of GPU hardware architecture
- Proficiency in utilizing performance analysis tools and debuggers
- Enthusiasm for developing the complete GPU software stack
Waymo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Waymo and has not been reviewed or approved by Waymo.
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Fair & Transparent Compensation — Pay is considered strong for full‑time technical roles, aligning with top‑tier AV/Big Tech benchmarks. Employer materials also emphasize competitive pay with eligibility for bonuses and equity as part of total rewards.
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Healthcare Strength — Coverage spans medical, dental, vision, mental‑health resources, onsite wellness centers, and counseling, with specialized programs such as menopause and transgender medical advocacy. Dependents are included, indicating depth across core health needs.
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Parental & Family Support — Offerings include fertility and family‑forming assistance, parental and baby‑bonding leave, caregiver and elder‑care support, and backup childcare. These programs are positioned to support families through multiple life stages.
Waymo Insights
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
