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8 дней назад

Test Infrastructure Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Taiwan
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
Test Infrastructure Engineer (AI): Building and operating factory test infrastructure for AI systems across stations, servers, and racks with an accent on Linux fleet management, networking, data pipelines, and reliable software releases. Focus on provisioning production test environments, capturing test history and hardware genealogy, integrating manufacturing systems, and debugging infrastructure issues that block production.

Location: On-site in San Jose, United States, or Taiwan; travel to manufacturing partners as needed.

Company

hirify.global builds chips, racks, software, and manufacturing infrastructure for frontier AI inference systems.

What you will do

  • Build and operate the test execution platform for factory tests across stations, servers, and racks.
  • Provision and manage the Linux fleet through OS imaging, network boot, configuration management, and lifecycle automation.
  • Design and maintain networking for test stations and racks in collaboration with factory partners.
  • Build data pipelines for test runs, logs, hardware genealogy, test history, yield, and throughput.
  • Manage versioned releases, canary deployments, and rollbacks of factory test packages.
  • Build monitoring and alerting, debug production-blocking infrastructure issues, integrate MES/SFIS and internal data platforms, and automate failure analysis toward AI-assisted triage.

Requirements

  • 3+ years of experience building and operating production infrastructure.
  • Strong Linux administration skills, including boot processes, package management, systemd, storage, and command-line debugging.
  • Solid networking fundamentals, including TCP/IP, DNS, DHCP, VLANs, VPNs, and server room or datacenter network layouts.
  • Experience with distributed systems that run across many machines and remain operational when some machines fail.
  • Strong coding skills in Python, C++, or Rust, with experience building tools and services.
  • Experience with automation, configuration management such as Ansible or Terraform, and CI/CD.
  • Experience with monitoring and observability tools such as Prometheus and Grafana, and debugging production issues.
  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
  • Willingness to work onsite in San Jose or Taiwan and travel to manufacturing partners as needed.

Nice to have

  • Bare-metal server fleets, lab or datacenter automation, or HPC clusters such as PXE or Slurm.
  • Server management interfaces such as BMC, IPMI, or Redfish.
  • Manufacturing test infrastructure, test automation platforms, or factory software such as MES or SFIS.
  • Data pipelines for test results, yield analysis, or hardware genealogy.
  • AI servers, GPU or accelerator systems, or other high-performance computing platforms.
  • Experience working with contract manufacturers; Mandarin is a plus for Taiwan-based candidates.
  • Experience bringing first-generation hardware into production at a fast-paced startup.

Culture & Benefits

  • Fully in-person work in San Jose and Taipei.
  • Competitive compensation packages with generous equity packages.
  • Comprehensive insurance coverage and other top-of-market benefits.
  • Technical staff contribute to engineering and research as needed.

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