6 часов назад
Lead Rack Systems Engineer (AI)
208 000 - 263 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Rack Systems Engineer (AI): Architecting and owning 150kW-class liquid-cooled rack systems for gigawatt-scale AI data centers with an accent on power, thermal, and interconnect integration. Focus on leading cross-functional engineering teams, defining interface control documents, and ensuring rack roadmaps align with accelerator vendor requirements.
Location: On-site in New York, NY; Austin, TX; San Francisco, CA; or Seattle, WA
Compensation: $208,000 – $263,000 + Equity
Company
is building civilization-scale compute infrastructure for AI, focusing on rapid deployment of gigawatt-scale data centers.
What you will do
- Own the rack as a product end-to-end, including architecture, power budget, cooling, and interconnect topology.
- Lead cross-functional teams of EE, ME, and thermal engineers to execute complex rack designs.
- Define and maintain interface control documents between rack and facility to ensure independent evolution of systems.
- Run rigorous design reviews to identify and resolve faults before field integration.
- Align rack roadmaps with accelerator vendor roadmaps and facility architecture.
Requirements
- 10+ years of experience in system architecture of rack-scale compute at a hyperscaler, ODM, or AI systems company.
- Proven track record of shipping dense liquid-cooled rack-scale products (NVL-class or equivalent).
- Deep expertise in power budgets, cooling architecture, interconnect topology, and serviceability.
- Experience leading EE, ME, and thermal engineering teams.
- Strong technical perspective on copper versus optics for scale-up interconnect at 200G+ per lane.
- Must be authorized to work in the United States.
Nice to have
- Experience with transport and seismic qualification.
- Fluency in facility-side liquid cooling.
- Direct engagement with accelerator vendor roadmaps.
Culture & Benefits
- Full-time role with competitive base salary and meaningful equity.
- Opportunity to work on high-intensity, frontier AI infrastructure problems.
- Culture of extreme ownership, velocity, and first-principles thinking.
- Comprehensive benefits package included.
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