2 часа назад
Capital Equipment Project Manager (Manufacturing)
169 000 - 208 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Capital Equipment Project Manager (Manufacturing): Managing end-to-end capital equipment programs for AI infrastructure with an accent on specification, procurement, and site acceptance. Focus on coordinating complex installations, managing vendor relationships, and ensuring operational readiness in a high-velocity manufacturing environment.
Location: On-site in Austin, TX; New York, NY; San Francisco, CA; or Seattle, WA
Salary: $169,000 – $208,000
Company
is building civilization-scale compute infrastructure to accelerate the development of frontier AI models.
What you will do
- Own capital equipment programs from specification and procurement through installation and startup.
- Write equipment specifications and URS documents to ensure vendor quotes are comparable and enforceable.
- Manage installation projects, including rigging, utilities, and integration with construction and operations teams.
- Execute Factory Acceptance Tests (FATs) and Site Acceptance Tests (SATs) to identify and resolve issues early.
- Hand over equipment to operations with comprehensive training and documentation.
Requirements
- Proven experience delivering capital equipment projects from specification through site acceptance in a manufacturing environment.
- Ability to write technical specifications rigorous enough for machine rejection.
- Experience coordinating rigging, utilities, and trades for major installations.
- Strong track record of holding vendors to acceptance criteria under schedule pressure.
- Must be able to work on-site in one of the specified US locations.
Nice to have
- Experience with fabrication or heavy assembly equipment.
- Background in project cost control and machine safety compliance.
- Experience managing multi-machine programs.
Culture & Benefits
- Equity provided for all full-time roles.
- High-intensity, fast-paced environment focused on solving frontier AI infrastructure challenges.
- Culture of extreme ownership, first-principles thinking, and high velocity.
- Comprehensive benefits package.
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