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CoreWeave

Rents GPU cloud computing for AI developers

Senior Infrastructure Capacity Program Manager - NPI

Program ManagementPosted on Nov 10
Full-timeIn-person

About the Job

Requirements

  • Data center infrastructure technical knowledge sufficient to engage credibly in discussions about GPUs, CPUs, Coolant Distribution Units (CDUs), power hardware chains, and cooling infrastructure.
  • Strong program/project management skills to drive cross-functional workstreams, track milestones and risks, hold multiple teams accountable to dates, and manage several concurrent NPI programs in parallel.
  • Typically 5+ years of experience in data center infrastructure planning, hardware New Product Introduction (NPI), or a related engineering/program role within large-scale data center or cloud environments.
  • Experience partnering with hardware or product engineering (NPI) teams to translate new product requirements into infrastructure, facility, or site plans, including defining scope and Bill of Materials (BOM) handoffs to downstream teams.
  • Experience determining or supporting hardware ordering cut-over decisions, balancing lead times, End-of-Life (EOL) timing, and deployment schedules.
  • Solid understanding of data center power, cooling, and network infrastructure principles, and how new hardware generations—including major cooling architecture transitions—affect site capacity and design.
  • Strong analytical and problem-solving skills to interpret complex technical information and make data-driven decisions.
  • Ability to represent Infrastructure Capacity in cross-functional meetings and translate technical hardware details for non-technical stakeholders, including Supply Chain, Construction, and Finance.
  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, Supply Chain Management, or a related field; equivalent practical experience is also considered.

Responsibilities

  • Track infrastructure hardware New Product Introduction (NPI) roadmaps and transition schedules across power, cooling, and network, giving Infrastructure Capacity visibility into upcoming and retiring hardware.
  • Determine cut-over points between ordering legacy/outgoing hardware and new/incoming hardware for each site or program by weighing lead times, End-of-Life (EOL) risk, and deployment timing to avoid over-ordering hardware about to be replaced or under-ordering ahead of delayed transitions.
  • Signal Capacity, Supply Chain, Construction, and Execution teams with scope and Bill of Materials (BOM) requirements as new hardware programs take shape, enabling coordinated planning, budgeting, and procurement.
  • Represent Infrastructure Capacity at weekly NPI data center planning meetings, bring a capacity and infrastructure-readiness perspective to hardware planning discussions, and communicate decisions, risks, and action items to Infrastructure Capacity and affected downstream teams.
  • Manage infrastructure readiness for NPI hardware programs by driving cross-functional workstreams, tracking milestones and risks, and ensuring power, cooling, network, and space readiness ahead of target ship or deployment dates.
  • Partner with Hardware NPI teams to translate new GPU/CPU, power, and cooling product designs into data center infrastructure requirements at scale; assess whether existing site designs can support new product generations and define infrastructure scaling design changes where needed.
  • Apply technical knowledge of cooling and power infrastructure to plan architecture transitions, translating transitions such as air-cooled racks to in-rack CDUs or remote/centralized CDU plants into power, space, and facility impacts for Design, Capacity, Supply Chain, and Construction.
  • Provide infrastructure-readiness planning for new rack-level power/cooling control hardware and high-density, liquid-cooled networking/switch rack designs, ensuring power, cooling, space, and cabling-pathway readiness from prototype/pilot stages through fleet-wide rollout.
  • Partner with Hardware NPI teams, equipment original equipment manufacturers (OEMs), DC Design and Network Engineering, Supply Chain, and Construction to align NPI timelines with site plans, procurement lead times, and CapEx/OpEx budgeting.
  • Maintain documentation of NPI roadmaps, EOL schedules, cut-over decisions, scope/BOM handoffs, and lifecycle-management decisions as hardware generations turn over.
  • Identify and resolve planning challenges where new hardware requirements exceed existing site capabilities or cut-over timing is at risk, escalating trade-offs that affect delivery timelines.
  • Monitor emerging compute, power, cooling, and network hardware roadmaps and NPI/lifecycle-management practices, incorporating relevant advancements into CoreWeave's NPI planning process.

Desired Qualifications

  • Experience in cloud hardware or data center infrastructure programs, ideally spanning compute (GPU/CPU), power, cooling, and network hardware.
  • Formal program/project management training or certification, such as Project Management Professional (PMP), or equivalent stage-gate/NPI program management experience.
  • Hands-on experience with liquid cooling architecture transitions, such as air-cooled to in-rack CDU to remote/centralized CDU, in a data center or similar critical-facility environment.
  • Experience working directly with rack-level hardware programs, such as rack power/cooling controller or management modules and liquid-cooling valve/manifold assemblies, from an infrastructure planning perspective.
  • Familiarity with End-of-Life (EOL) / End-of-Service-Life (EOSL) management practices for power, cooling, or network equipment.
  • Proficiency with capacity planning, roadmap tracking, or project/portfolio tracking tools, such as DCIM platforms.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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