Назад
11 дней назад

Director, Data Hall Design (AI Infrastructure)

170 000 - 240 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
director
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director, Data Hall Design (AI Infrastructure): Building and leading the physical data hall design practice for hyperscale AI infrastructure, covering GPU rack layouts, high-speed networking, structured cabling, power, cooling, documentation, and procurement packages with an accent on buildable designs for dense GPU environments. Focus on translating AI infrastructure requirements into construction-ready packages, establishing scalable standards and DCIM processes, and building a high-performing data hall design team.

Location: AMER; remote-first workplace with geography described as no barrier to impact or connection.

Base salary: $170,000–$240,000 USD annually, with potential bonus, equity, commission, and benefits.

Company

Nscale is a vertically integrated AI cloud company operating energy, data centers, GPU superclusters, orchestration, and AI services across Europe and the US.

What you will do

  • Own data hall layouts from early concepts through construction-ready drawing packages across the AI data center portfolio.
  • Design GPU rack layouts, high-speed network and storage topologies, structured cabling, fiber routing, patch matrices, power distribution, cooling integration, and operational access.
  • Produce layouts, rack elevations, cable and fiber plans, topology diagrams, power plans, bills of materials, asset documentation, and procurement packages.
  • Establish DCIM, asset documentation, reusable standards, templates, quality reviews, and delivery cadences.
  • Partner with network engineering, IT architecture, MEP, construction, procurement, commissioning, operations, and design technology teams.
  • Build and lead the data hall design team as the portfolio scales.

Requirements

  • 10+ years of experience in data hall design, data center infrastructure design, IT infrastructure planning, structured cabling engineering, or a closely related technical field.
  • Deep experience designing physical infrastructure for high-density compute environments, including rack layouts, power distribution, cooling integration, and structured cabling.
  • Strong knowledge of GPU cluster physical design, preferably including NVIDIA DGX/HGX, SuperPOD-scale, or comparable AI/HPC infrastructure.
  • Strong understanding of InfiniBand, 100G/400G/800G Ethernet, spine-leaf and fat-tree topologies, and GPU fabric architectures.
  • Expertise in OS2, OM3/OM4/OM5, LC, MPO/MTP, polarity schemes, loss budgets, and high-density fiber management.
  • Ability to produce production-quality layouts, rack elevations, cable plans, fiber tray layouts, patch matrices, topology diagrams, and BOMs, including procurement-ready BOMs for complex builds.
  • Familiarity with DCIM, IPAM, and asset management platforms such as NetBox, Nlyte, Sunbird, or equivalent.
  • Proficiency with AutoCAD, Visio, and at least one data center design, BIM, DCIM, or infrastructure documentation tool.
  • Working knowledge of rack- and row-level power distribution, including PDUs, busway, overhead power, and rack power management, plus experience collaborating with MEP, construction, procurement, and operations teams.
  • Ability to set standards, influence stakeholders, and turn ambiguous infrastructure requirements into clear, buildable design packages.

Nice to have

  • Experience with direct liquid cooling, rear-door heat exchangers, immersion cooling, AI/HPC/hyperscale/cloud or mission-critical data centers.
  • Familiarity with NVIDIA NVLink Switch System, Quantum InfiniBand, Spectrum Ethernet, and emerging AI fabric architectures.
  • Knowledge of optical transceivers, silicon photonics, co-packaged optics, and high-speed server and switch connectivity.
  • Experience building or leading a data center infrastructure design team and integrating assets into BIM, DCIM, digital twin, or operational documentation workflows.
  • Bachelor’s degree in electrical, computer, or network engineering, information technology, or a related discipline.
  • BICSI RCDD, BICSI DCDC, NVIDIA DGX, Cisco CCNA/CCNP, or equivalent certifications.

Culture & Benefits

  • Remote-first, flexible workplace with autonomy over the working day and virtual collaboration across geography.
  • Highly competitive package with base salary, equity, reviews every 12 months, and potential bonus or commission programs.
  • Potential medical, dental, and vision coverage, flexible paid time off, parental leave, and retirement plan participation.
  • Supportive, collaborative, innovative environment emphasizing ownership, accountability, transparency, and technical excellence.
  • Growth opportunities through leadership, new initiatives, challenging the status quo, and ownership of impact.

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