5 часов назад
Lead Mechanical Engineer (AI Infrastructure)
194 000 - 237 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Mechanical Engineer (AI Infrastructure) (Cooling, Piping, and Data Centers): Leading mechanical engineering for modular data-center units and behind-the-meter systems with an accent on cooling, piping, reference designs, and vendor qualification. Focus on checking calculations, enforcing standards, releasing scalable mechanical packages, and developing the engineering team.
Location: On-site in Austin, TX; New York, NY; San Francisco, CA; or Seattle, WA
Salary: $194,000–$237,000 annual base salary plus equity
Company
builds and operates large-scale compute infrastructure, including power systems and data centers, for frontier AI.
What you will do
- Lead mechanical engineering for R&D projects involving cooling, piping, and mechanical plants.
- Design mechanical systems for modular units and behind-the-meter infrastructure.
- Own released, revision-controlled mechanical reference designs through megawatt scale.
- Set technical standards by checking calculations, enforcing requirements, and reviewing vendor packages.
- Qualify major mechanical equipment with vendors and balance innovation with delivery schedules.
- Hire, mentor, and delegate while solving the most challenging mechanical engineering problems.
Requirements
- Experience leading mechanical design for data centers, power plants, or heavy industrial systems.
- Experience releasing mechanical packages that were built at scale.
- Ability to personally check calculations and identify issues in engineering work.
- Experience qualifying major mechanical equipment with vendors.
- Ability to balance technical innovation with schedules and execution.
Nice to have
- Depth in liquid cooling and chilled-water plants.
- Professional Engineer license.
- Experience with modular construction.
Culture & Benefits
- Full autonomy and end-to-end ownership.
- Fast-paced execution focused on velocity.
- First-principles decision-making and direct technical debate.
- High-intensity work on frontier AI infrastructure.
- Equity is included for full-time roles, along with benefits and transparent pay ranges.
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