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4 часа назад

Systems Engineer (AI/HPC)

160 000 - 320 000$
Формат работы
onsite
Тип работы
fulltime
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
Systems Engineer (AI/HPC): Scaling AI inference by designing and optimizing GPU kernels and tensor libraries with an accent on CUDA/C++, high-performance systems, and parallel programming. Focus on translating HPC techniques into scalable inference solutions, evaluating emerging architectures, and improving GPU infrastructure efficiency.

Location: On-site at the office in San Francisco or Westwood, Los Angeles

Salary: $160K–$320K base salary, plus equity and bonus

Company

hirify.global provides cloud computing infrastructure for AI projects and businesses, focused on democratizing and decentralizing AI computing.

What you will do

  • Design and optimize GPU kernels and tensor libraries.
  • Translate high-performance computing techniques into scalable AI inference solutions.
  • Evaluate emerging GPU architectures and resource management approaches.
  • Collaborate with technical leadership to improve GPU infrastructure efficiency.

Requirements

  • Advanced C++ experience; C++17/20 preferred.
  • Expertise with at least one parallel programming framework, such as CUDA, HIP, SYCL, OpenCL, or OpenACC.
  • Strong background in systems optimization and HPC performance tooling.
  • Experience with CUDA/C++, GPGPU, Python, and Linux.
  • Ability to work on-site in San Francisco or Westwood, Los Angeles.

Nice to have

  • Familiarity with distributed training and inference frameworks.

Culture & Benefits

  • Health, dental, vision, and life insurance.
  • 401(k) with company match.
  • Meaningful early-stage equity.
  • On-site meals and snacks.
  • Close collaboration with founders and technical leaders in an ambitious startup environment.

Hiring process

  • 15-minute virtual initial screening.
  • 30-minute virtual discussion of Vast, systems, and architectures.
  • One-hour virtual LLM-assisted coding assessment.
  • Two-hour on-site meet-and-greet with the coding assessment; the process aims to finish within two weeks.

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