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Manufacturing Test Engineer, AI Compute Infrastructure - Stargate (AI)

205 000 - 335 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR

Manufacturing Test Engineer (AI Compute Infrastructure): Develop manufacturing test strategies, tools, and execution practices for critical AI infrastructure hardware with an accent on test coverage, yield improvement, and scalable production testing. Focus on designing test stations, automating scripts, root-causing issues, and partnering with global manufacturers to ensure reliable hardware deployment.

Location: Remote - US

Salary: $205K – $335K + equity

Company

hirify.global’s Stargate organization builds physical infrastructure to power frontier AI systems at massive scale across hardware, manufacturing, and operations.

What you will do

  • Develop and deploy manufacturing test solutions with global partners.
  • Define test requirements, drive Design for Test (DFT), and ensure testability.
  • Maintain test operations, deploy updates, and build automated test scripts.
  • Improve test coverage, reduce test time and costs while upholding quality.
  • Analyze and resolve yield issues and field escapes with root cause actions.
  • Design, validate, and deploy test stations, fixtures, and tooling.

Requirements

  • Bachelor's in Electrical Engineering, Computer Science, or equivalent.
  • 5+ years in hardware or manufacturing test engineering.
  • Experience developing manufacturing test systems with custom electronics and instrumentation.
  • Managing test systems to improve manufacturability and quality.
  • US-based candidates; background checks per US laws.

Nice to have

  • Testing server, networking, or data center hardware.
  • Python/Shell scripting and Linux familiarity.
  • Test station validation (gage R&R, correlation).
  • Comprehensive test plans and troubleshooting cross-functionally.

Culture & Benefits

  • Lean, hands-on team optimizing across design, manufacturing, and deployment.
  • Equity offers and competitive compensation.
  • Equal opportunity employer with accommodations for disabilities.
  • Focus on safety, diverse perspectives, and benefiting humanity through AI.