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8 дней назад

Senior Systems Engineer (AI)

150 000 - 190 000$
Формат работы
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

Текст:
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TL;DR
Senior Systems Engineer (GPU/AI): Designing, integrating, benchmarking, and deploying custom GPU workstations, servers, and HPC clusters with an accent on NVIDIA and AMD platforms, storage, networking, and Linux environments. Focus on translating customer requirements into validated technical systems, tuning performance, and troubleshooting deployments across rack-scale infrastructure.

Location: Fremont, California; onsite five days per week

Salary: $150,000–$190,000 per year

Company

hirify.global connects technical professionals with opportunities involving advanced GPU computing, AI, scientific research, engineering, life sciences, government, and defense systems.

What you will do

  • Design GPU-accelerated workstations, servers, and HPC clusters.
  • Configure, integrate, benchmark, and tune NVIDIA and AMD systems.
  • Build and support storage, Ethernet, InfiniBand, and cluster architectures.
  • Deploy and troubleshoot Linux-based HPC environments, including Slurm and Bright Cluster Manager.
  • Translate customer requirements into practical technical solutions.
  • Partner with customers, sales, and engineering throughout system delivery.

Requirements

  • Hands-on experience delivering GPU compute or HPC systems.
  • End-to-end experience with system design, integration, validation, and deployment.
  • Strong knowledge of servers, storage, networking, and cluster infrastructure.
  • Experience with NVIDIA or AMD GPU platforms and Linux troubleshooting.
  • Strong performance-tuning, communication, and customer-facing skills.
  • Approximately ten years of relevant systems engineering experience preferred; candidates with five or more years may be considered.

Culture & Benefits

  • Work with a close-knit technical team on the latest GPU platforms.
  • Support projects across AI, scientific research, engineering, life sciences, government, and defense.
  • Own complete systems from initial requirements through real-world deployment.

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