Nvidia Data Center Capacity Planning Engineer 

United States, California 

396612567

time type

Full time

posted on

Posted 15 Days Ago

job requisition id

What you’ll be doing:

• 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 inclusive of 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, 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.

• Design & Construction Integration: Understand the 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.

What we need to see:

• 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 in the creation of 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 from the crowd:

• 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 tools for capacity modeling and portfolio tracking.

• Experience working in high-growth environments with rapid shifts in demand.