6 часов назад
Mechanical Engineer (AI Infrastructure)
208 000 - 263 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Mechanical Engineer (AI Infrastructure): Designing and engineering mechanical utility systems for behind-the-meter power plants with an accent on fuel gas, water, and compressed air systems. Focus on integrating complex utility packages into data center infrastructure and managing EPC interfaces to ensure rapid build and operational reliability.
Location: On-site in Austin, TX; New York, NY; San Francisco, CA; or Seattle, WA
Salary: $208,000 – $263,000 per year
Company
is building civilization-scale compute infrastructure to power the next generation of AI, focusing on speed and scale in data center design and operation.
What you will do
- Engineer mechanical utilities for behind-the-meter plants, including fuel gas, water, and compressed air systems.
- Design balance-of-plant generation systems, ensuring they are sized, routed, and specified for fast construction and long-term reliability.
- Integrate utilities across campus sites, combining generation, data center, and site systems into a unified mechanical design.
- Manage vendor and EPC interfaces, reviewing packages, identifying gaps, and resolving field questions.
Requirements
- Proven experience engineering balance-of-plant or utility systems for power generation or heavy industry.
- Expertise in designing fuel gas systems and knowledge of governing codes.
- Ability to integrate packaged equipment into functioning plant environments.
- Strong technical review skills, including identifying interface gaps, tie-ins, and capacity constraints.
- Must have authorization to work in the United States.
Nice to have
- Experience with gas turbine or reciprocating plant balance-of-plant systems.
- Depth in NFPA 54 and 56 standards.
- Experience with water, compressed air, and nitrogen systems.
Culture & Benefits
- Equity provided for all full-time roles.
- High-intensity, fast-paced environment focused on solving critical AI infrastructure challenges.
- Culture of extreme ownership, first-principles thinking, and high velocity.
- Comprehensive benefits package included.
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