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# Software Engineer, GPU

- **Company:** Washington Music Sales Center Inc
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $204,000.0 - $259,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Nvidia CUDA, Continuous Integration, Software Debugging, Linux, Eigen (C++ Library), Embedded Software, Open Source Technology, Graphics Processing Unit (GPU), CUTLASS
- **Published:** October 13, 2026
- **Apply:** https://www.juju.com/job/21_01a12b76-76ce-7788-9cbd-a02a38347715

## About the Role

* Expertise in C++ programming for GPU (CUDA or similar framework)
 * Bachelor degrees in EECS, coupled with a minimum of five years of industry experience
 * Solid understanding of GPU software stack
 * Solid understanding of key GPU hardware characteristics that are important to GPU SW efficiency
 * 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:

 * Master/doctorate degree in EECS
 * Prior excellence in landing solid, sophisticated, and efficient solutions at any level of the GPU stack
 * Deep insights into GPU kernel performance, compilation flow, and driver stack
 * Knowledgeable of Linux driver and embedded firmware
 * Ability to quickly ramp on a diverse set of heterogeneous platforms and start solving problems
 * Clear technical communicator, good leader and collaborator
 * Familiarity with GPU libraries such as Thrust, CUB, CUTLASS, or Eigen
 * Experience contributing to open-source compiler projects such as LLVM or SPIR-V

## Description

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