Data Center Capacity Planning Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data Centers, High-Performance Computing, Machine LearningIndustries

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 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

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 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
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

Skills

Capacity Planning

Data Center

GPU Roadmaps

Analytics

Demand Forecasting

Supply Chain

Mechanical Design

Electrical Design

Portfolio Optimization

Modeling

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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