Data Center Capacity Planning Engineer

at Nvidia
USD 184,000-345,000 per year
SENIOR
âś… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

SQL @ 4 Machine Learning @ 4 Leadership @ 7 Technical Leadership @ 7 GPU @ 7

Details

NVIDIA's data centers host ground-breaking products across high-performance computing to machine learning applications for autonomous vehicles and healthcare. This role focuses on developing and managing tools, processes, and analytics that align NVIDIA’s global data center supply with internal demand. The position requires both technical and business leadership with a deep understanding of GPU roadmaps and associated infrastructure requirements. The Lead will translate demand signals into actionable capacity plans across a global portfolio.

Location: Santa Clara, California, United States

Employment type: Full time

Application deadline: October 3, 2025

Base salary: 184,000 USD - 287,500 USD (Level 5); 216,000 USD - 345,000 USD (Level 6). Base salary will be determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Responsibilities

  • Provide technical leadership in coordination with product requirements and configurations of mechanical and electrical system designs.
  • Build and maintain capacity planning models for critical data center resources, including methodologies to track global demand, supply, and portfolio utilization.
  • Translate business drivers, internal tenant demand, and GPU roadmap requirements into multi-year capacity strategies.
  • Develop tools to measure incremental vs. cumulative demand and supply, highlighting constraints, risks, and available capacity.
  • Evaluate tradeoffs across timing and location and develop options to optimize portfolio planning.
  • Partner with construction, design, finance, and operations teams to validate assumptions, incorporate technical dependencies, and ensure alignment with strategic growth.
  • Understand complexities of rack-ready vs. powered-shell timelines, density requirements, and evolving GPU architectures.
  • Operate as a self-starter capable of independently identifying gaps, proposing solutions, and driving execution with minimal guidance.

Requirements

  • 12+ years of experience in data center capacity planning, portfolio management, or related engineering roles.
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience.
  • Deep experience creating tools, models, and dashboards that track demand and supply across sophisticated portfolios.
  • Solid understanding of data center infrastructure, design, and construction timelines, particularly as they relate to GPU architectures and roadmap transitions.
  • Proven experience in portfolio planning—balancing multiple projects, timelines, and capacity requirements.
  • Strong analytical, problem-solving, and interpersonal skills.
  • Self-starter mentality; ability to work independently while influencing multi-functional partners.

Ways to stand out

  • Prior experience in hyperscale, colocation, or semiconductor data center planning.
  • Familiarity with GPU architecture and associated cooling/power design requirements.
  • Sophisticated skills in Excel, SQL, or other tools for capacity modeling and portfolio tracking.
  • Experience working in high-growth environments with rapid shifts in demand.

Benefits

  • Competitive base salary (ranges above), equity eligibility, and a generous benefits package.
  • Opportunity to work with industry-leading GPU products and cross-functional teams across design, construction, and operations.

Other

  • NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.