10 часов назад
Head of Project Engineering (AI Infrastructure)
225 000 - 330 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Head of Project Engineering (AI Infrastructure): Leading concurrent GPU compute infrastructure deployments from deal discovery through delivery and handover to steady-state operations with an accent on technical feasibility, power and cooling, network fabrics, and operational readiness. Focus on building a repeatable project engineering function, managing constrained specialist resources and vendors, and validating clusters against commercial commitments.
Location: Palo Alto, CA, United States; hybrid. Regular travel to sites and partner locations is required.
Salary: $225,000–$330,000 annually in California, plus equity and discretionary bonus.
Company
is a vertically integrated AI infrastructure platform that builds and operates large-scale GPU compute infrastructure for frontier AI customers.
What you will do
- Lead multiple project engineering teams delivering GPU compute deployments across sites from discovery through operational handover.
- Own technical feasibility, deal commitments, cost assumptions, deployment sequencing, and customer or investor technical due diligence.
- Establish delivery models covering facility handover, rack and stack, power-on, fabric build, burn-in, acceptance, and validation.
- Define completion criteria, performance validation, documentation, runbooks, monitoring coverage, and operational readiness.
- Build and manage the project engineering organization, including hiring, performance management, development, and succession planning.
- Manage OEMs, integration partners, colocation providers, field services, and managed services vendors while improving delivery repeatability and automation.
Requirements
- 8+ years of experience in data centers, infrastructure, or large-scale technical delivery, including at least 3 years leading multiple teams or through team leads.
- Track record delivering large-scale compute deployments where power, cooling, and logistics are significant constraints.
- Deep technical expertise in at least two of data center facilities and power/cooling, high-performance network fabrics, or compute and systems engineering.
- Experience with GPU cluster deployment, rack-scale systems, high-density power, liquid cooling, and acceptance validation for training workloads.
- Experience owning delivery against commercial commitments, managing concurrent projects with constrained specialist resources, and leading multi-vendor delivery.
- Strong commercial communication skills and willingness to travel regularly, including during critical delivery phases.
Nice to have
- Experience with NVIDIA reference architectures, rack-scale systems, certification, and validation.
- Direct liquid-cooling deployment experience, including CDU integration and facility demarcation.
- Background at a neocloud, hyperscaler, HPC center, or specialist data center integrator.
- Experience deploying in the Nordics or in sites with unusual power, climate, or grid characteristics.
- Experience with infrastructure due diligence, structured delivery frameworks, delivery automation, or AI-assisted planning and documentation workflows.
Culture & Benefits
- Supportive, trusted environment focused on growth, impact, and work-life balance.
- Equity participation in .
- Retirement or pension contributions.
- Comprehensive health, wellbeing, and insurance benefits.
- Generous annual vacation allowance.
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