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Manufacturing Engineer (AI Infrastructure)

169 000 - 208 000$
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
Manufacturing Engineer (AI Infrastructure): Building and scaling chassis fabrication processes for AI compute infrastructure with an accent on weld-heavy manufacturing, process planning, and production-line launches. Focus on designing fixtures and work instructions, running PFMEAs and capability studies, and reducing scrap, rework, and cycle time through data-driven improvements.

Location: On-site in Austin, TX; New York, NY; San Francisco, CA; or Seattle, WA

Salary: $169,000–$208,000 per year, plus equity

Company

hirify.global builds and operates large-scale compute infrastructure and data centers for frontier AI.

What you will do

  • Own manufacturing engineering for chassis fabrication, including processes that turn steel into module frames.
  • Develop routings, work instructions, fixtures, and cycle times for weld-heavy fabrication.
  • Launch new production lines and product revisions, owning PFMEAs, capability runs, and ramp curves.
  • Improve yield and cost by reducing scrap, rework, and cycle time through weekly data analysis.

Requirements

  • Experience as a manufacturing engineer in heavy fabrication or weldment production.
  • Experience launching fabrication lines or major process changes to production rate.
  • Ability to write practical work instructions for operators.
  • Experience running PFMEAs that identify and predict real production failures.
  • Demonstrated success reducing cycle time on optimized manufacturing processes.

Nice to have

  • Depth in welding processes.
  • Fixture design experience.
  • Tekla or CAD fluency.
  • Experience with takt-based production systems.

Culture & Benefits

  • Full-time employment with base salary, equity, and benefits.
  • High-autonomy environment with end-to-end ownership.
  • Fast-paced, first-principles approach focused on execution and technical problem-solving.
  • Commitment to pay equity and compensation transparency.

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