2 дня назад
Hardware Qualification Lead
200 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Hardware Qualification Lead (AI Compute Infrastructure): Leading the Fluidstack Labs team in qualifying next-generation compute, network, and rack hardware for large-scale AI infrastructure with an accent on qualification roadmaps, lab operations, and vendor engagement. Focus on making deploy-or-not decisions, building disciplined lab environments, and using hardware qualification data to define fleet standards.
Location: Glendale, Arizona, United States; on-site
Salary: $200,000–$275,000 per year, plus equity
Company
builds and operates large-scale compute infrastructure for frontier AI, including power systems, data centers, hardware, and software.
What you will do
- Lead Labs, qualifying next-generation compute, network, and rack hardware before fleet deployment.
- Own the qualification roadmap, including test scope, quality bars, timelines, sourcing coordination, and deployment plans.
- Run lab operations across environments, equipment, processes, and throughput.
- Make fleet standardization and deploy-or-not decisions based on qualification data.
- Engage hardware vendors on roadmaps, escalations, and early-access programs.
- Publish qualification results that support company-wide infrastructure decisions.
Requirements
- Experience leading hardware qualification, systems engineering, or lab teams for compute or infrastructure.
- Experience owning deploy-or-not decisions involving significant financial investment.
- Experience establishing lab environments and disciplined operating processes.
- Ability to engage vendors as a peer on roadmaps, escalations, and early access.
- Ability to communicate results clearly so the organization can act on them.
- Ability to work on-site in Glendale, Arizona.
Nice to have
- Experience with GPU and accelerator systems.
- NPI process experience.
- Failure analysis program experience.
- Hyperscale hardware experience.
Culture & Benefits
- Full-time compensation includes base salary, equity, and benefits.
- Additional equity may be available for outstanding candidates.
- Work emphasizes extreme ownership, autonomy, speed, and first-principles thinking.
- High-intensity work focused on advancing frontier AI infrastructure.
- Commitment to pay equity and transparency.
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