N

Nscale

Develops and operates AI data centers

Director of Technical Program Management - Logical Deployment

Program ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • 12+ years in hyperscale infrastructure, cloud platforms, or large-scale high-performance computing delivery, including 5+ years leading teams.
  • Direct experience delivering large GPU or high-performance computing clusters, from network and platform bring-up through validation and customer acceptance.
  • Strong working knowledge of data center networking, including front-end and back-end fabrics, InfiniBand or RoCE, and out-of-band and management networks.
  • Strong working knowledge of infrastructure software, including provisioning, control planes, fleet management, and asset systems such as NetBox.
  • A track record of driving engineering teams the candidate does not directly manage to firm commitments.
  • Strength in building integrated schedules and critical paths across many dependencies, and recovering them when they slip.
  • Ability to travel about 50% of the time, primarily to data center sites.
  • Decisiveness in calling realistic dates and developing recovery plans, including making decisions with incomplete information.
  • Ability to hold engineering, networking, and partner teams to commitments and escalate dependency slips early with evidence.
  • Accountability for cluster outcomes, including taking action to address blockers.
  • Ability to bring order to a failing bring-up and help the team respond clearly under schedule pressure.
  • Credibility briefing executives and customers with clear, honest status on facts, risks, and needs.
  • Ability to hire strong engineers and program managers, give them ownership, and develop them into leaders.
  • Technical depth to interpret fabric designs, bring-up logs, and validation reports.
  • Clear, concise executive communication, in writing and in meetings, with honest forecasts.

Responsibilities

  • Own the integrated logical schedule for each cluster, from asset data lock to customer handoff.
  • Maintain asset and inventory data in NetBox as the source of truth, locked before bring-up begins and accurate throughout.
  • Drive connectivity readiness, including edge connectivity, out-of-band and management networks, and bootstrap connectivity for Nscale and customer environments.
  • Sequence service, control plane, and fleet bring-up across engineering teams.
  • Drive front-end and back-end fabric deployment to completion with the Networking and Build Out teams.
  • Clear fabric, configuration, and connectivity blockers quickly, and escalate early when they threaten the schedule.
  • Own GPU enrollment and validation, along with fleet manager ingestion and provisioning.
  • Lead acceptance validation against customer criteria, closing defects with engineering and original equipment manufacturer partners.
  • Prepare each cluster for handoff and transition it to ongoing operations with complete documentation, runbooks, and open-issue lists.
  • Lead, hire, and develop a team of engineering program managers, networking and validation specialists, and tooling and automation leads.
  • Define the logical deployment playbook, including entry criteria from Physical Deployment, gates, checklists, and standard timelines.
  • Automate bring-up, validation, and status reporting with the tooling team so each cluster comes online faster than the previous one.
  • Report weekly status and risks to the vice president and senior leadership, clearly separating forecast from upside.
  • Ensure every active cluster has one integrated logical schedule, owned by a named lead and reviewed weekly.
  • Ensure logical milestones meet committed dates, or flag slips at least two weeks ahead with a recovery plan.
  • Reduce the time from rack energization to customer handoff with each cluster.
  • Ensure acceptance validation follows a repeatable, documented standard at every site.
  • Ensure clusters transition to ongoing operations with no open blockers.
  • Put a documented logical deployment playbook and core bring-up automation into use at every new site.
  • Fully staff the Logical Deployment team with clear ownership and a succession path.

Desired Qualifications

  • Hands-on experience with NVIDIA GB200/GB300 or Vera Rubin NVL72-class clusters, including NVLink, InfiniBand, or Spectrum-X fabrics.
  • Experience at a hyperscaler, neocloud, or AI lab bringing 10K+ GPU clusters into production.
  • Familiarity with NVIDIA cluster validation and burn-in.
  • Experience building automation for provisioning, validation, or deployment reporting.
  • A background in network engineering, site reliability engineering, or infrastructure software.

About the Company

Nscale

Develops and operates AI data centers

Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.

Company size
1,001-5,000
Company stage
N/A
Total funding
$13.2B
Headquarters
London, United Kingdom
Founded
2024

Recently Posted Jobs

Explore more opportunities at Nscale

See more jobs