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2 дня назад

Senior AI Solution Architect (AI)

170 500 - 315 490$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Senior AI Solution Architect (AI accelerators and cloud infrastructure): Designing, validating, and optimizing AI accelerator systems and cloud infrastructure for large-scale machine learning workloads with an accent on platform bring-up, hardware integration, and full-stack debugging. Focus on diagnosing PCIe, memory, and interconnect issues, building automated validation frameworks, and leading cross-functional platform readiness.

Location: On-site in Hillsboro, Oregon, United States

Annual salary: $170,500–$315,490 USD

Company

Intel designs and manufactures silicon products, AI accelerator platforms, and connected computing technologies.

What you will do

  • Design and optimize Gaudi and GPU accelerator systems for production machine learning workloads.
  • Lead platform bring-up, validation, and integration for next-generation AI hardware.
  • Debug PCIe, memory subsystem, interconnect, firmware, and software issues across AI clusters.
  • Develop automated testing frameworks, monitoring solutions, diagnostic tools, and system health APIs.
  • Collaborate with OEM vendors and hardware, firmware, and software teams on BMC integration and platform readiness.
  • Mentor junior engineers and data center technicians while leading technical decisions and architectural improvements.

Requirements

  • Bachelor’s degree with 6+ years, master’s degree with 4+ years, or PhD with 2+ years in computer science, electrical engineering, or a related field.
  • 5+ years of experience in system engineering, platform validation, or related roles.
  • 3+ years of experience bringing up and debugging high-performance AI clusters.
  • 3+ years of experience resolving complex system-level issues in production AI/ML environments.
  • 3+ years of experience designing, validating, and deploying AI clusters in production.
  • On-site work in Hillsboro, Oregon, United States is required.

Nice to have

  • Experience with Intel Xeon or Gaudi platforms, GPUs, or other AI accelerators.
  • Expert-level Python and familiarity with vLLM, PyTorch, TensorFlow, and OpenMPI.
  • Linux/Unix administration, Docker, shell scripting, Redfish, IPMI, and BMC management.
  • Knowledge of PCIe, memory subsystems, computer architecture, platform security, and AI/ML workload optimization.

Culture & Benefits

  • Competitive compensation with stock bonuses.
  • Health, retirement, and vacation benefits.
  • Commitment to ethical hiring and responsible business practices.
  • No recruitment, medical examination, or other employment-related fees are charged to candidates.

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