Expertise in C++ programming for GPU (CUDA or similar framework)
Bachelor's degree in EECS with a minimum of five years of industry experience
Solid understanding of the GPU software stack
Knowledge of key GPU hardware characteristics for software efficiency
Proficiency in performance analysis tools and debuggers
Passion for developing the complete GPU software stack from hardware to applications
Responsibilities
Develop high-performance GPU primitives and abstractions for scaling accelerator codebase
Collaborate with internal hardware teams and external partners on SoC GPU projects
Manage bring-up, correctness, and performance of the onboard stack on new GPU platforms
Contribute to testing infrastructure to enhance CI/CD flow for GPUs
Create profiler and debugger tools for new GPU platforms
Benefits
Participation in Waymo's discretionary annual bonus program
Equity incentive plan
Generous company benefits program, subject to eligibility requirements
Full Job 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
You have:
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
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
$204,000-$259,000 USD
About Waymo
Waymo LLC is a self-driving technology development company. It is a subsidiary of Alphabet Inc., the parent company of Google. Waymo develops autonomous driving technology and provides ride-hailing services through its Waymo One program. The company has been testing its self-driving technology on public roads since 2009 and has logged millions of miles of autonomous driving. Waymo has partnerships with several automakers and has been working on developing autonomous trucks for use in logistics.
