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8 часов назад

Senior Software Engineer (C++ GPU Performance)

217 000 - 307 000$
Формат работы
hybrid
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

Senior Software Engineer (C++ GPU Performance): Analyzing and optimizing GPU-based algorithms for self-driving hardware and software with an accent on throughput, latency, and compute utilization. Focus on building real-time instrumentation, profiling GPU hotspots, and designing middleware frameworks for efficient CPU/GPU execution.

Location: Hybrid (Foster City, CA / Seattle, WA / Boston, MA / San Diego, CA)

Salary: $217,000 - $307,000 a year

Company

hirify.global is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem to provide next-generation mobility-as-a-service.

What you will do

  • Build real-time instrumentation for performance monitoring of CPU, GPU, latency, and memory.
  • Develop offline benchmarking frameworks and tools to analyze performance at scale in CI/vehicle.
  • Analyze performance metrics to identify GPU hotspots and implement actionable optimization solutions.
  • Support teams in porting serial algorithms to the GPU to maximize compute utilization and reduce latency.
  • Design a middleware framework that promotes efficient and performant code development by maximizing CPU and GPU usage.

Requirements

  • BS in computer science or related field with 7+ years of experience.
  • Strong knowledge of CUDA and recent GPU microarchitectures (e.g., Ampere, Blackwell).
  • Experience debugging and optimizing GPU kernels using tools like Nsight.
  • Proficiency in C++ and experience working within large code bases in Linux environments.
  • Experience in development and profiling of complex multiprocess systems (e.g., robotic systems, game engines).

Nice to have

  • Experience with PTX-level programming, CPU SIMD instructions (AVX), and custom CUDA layers (TensorRT, XLA).
  • Hands-on work with ML model optimization, including post-training quantization and layer pruning.
  • Experience hand-tuning GPU kernels in OpenGL, CUDA, or RocM.
  • Proficiency with SQL, DataBricks, or Looker.

Culture & Benefits

  • Competitive base salary with additional Amazon RSUs and hirify.global Stock Appreciation Rights.
  • Comprehensive health insurance and long-term/short-term disability and life insurance.
  • Paid time off including vacation, sick leave, and bereavement.
  • Potential sign-on bonus based on location and level.

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