Назад
2 месяца назад

GPU Software Engineer (Autonomous Driving)

204 000 - 259 000$
Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

GPU Software Engineer (Autonomous Driving): Develop high-performance GPU primitives and abstractions to scale accelerator codebase across diverse GPU backends with an accent on system-level compute architectures for fully autonomous vehicles. Focus on collaborating with hardware teams on SoC projects, managing bring-up and performance of onboard stack, and creating profiler/debugger tools for new GPU platforms.

Location: Hybrid/Onsite in Mountain View, California or New York City, New York

Salary Range: $204,000—$259,000 USD

Company

Autonomous driving technology company building the Waymo Driver for ride-hail service and various vehicle platforms, with over 100 million autonomous miles driven.

What you will do

  • Develop high-performance GPU primitives and abstractions to scale accelerator codebase across diverse GPU backends
  • Collaborate with internal hardware team and external partners on SoC projects focusing on GPU
  • Manage bring-up, correctness, and performance of Waymo onboard stack on new GPU platforms
  • Contribute to testing infrastructure for CI/CD flow, early bug detection, and automated alerts
  • Create profiler and debugger tools for new GPU platforms

Requirements

  • Bachelor's degree in EECS with minimum 3 years industry experience
  • Proven expertise in C++ programming
  • Experience with full-system simulation frameworks (SystemC, Gem5 or similar)
  • Solid understanding of GPU hardware architecture
  • Proficiency in performance analysis tools and debuggers
  • Enthusiasm for developing complete GPU software stack from hardware to applications

Nice to have

  • Knowledge of Linux device drivers and embedded firmware
  • Experience with diverse GPU deployment environments
  • Proficiency in GPU optimization techniques (memory coalescing, register/shared memory tiling, pinned memory, warp-level programming)
  • Familiarity with GPU libraries (Thrust, CUB, CUTLASS, Eigen)
  • Experience collaborating with external operators for high quality standards
  • Experience contributing to open-source compiler projects (LLVM, SPIR-V)

Culture & Benefits

  • Discretionary annual bonus program
  • Equity incentive plan
  • Generous company benefits program

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