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# Software Engineer, GPU

- **Company:** Waymo LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $204,000.0 - $259,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Continuous Integration, Software Debugging, Device Drivers, Eigen (C++ Library), Embedded Software, Open Source Technology, SystemC, Graphics Processing Unit (GPU)
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=900d0caf9728232b

## About the Role

* 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

## Description

In this hybrid role, you will report to a Senior Software Engineer.

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


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