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$39.5K

$67.8K

$129.3K

How much do capacity manager jobs pay per year?

As of Jun 10, 2026, the average yearly pay for capacity manager in California is $67,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $85,900.00 per year, depending on experience, location, and employer.

What does a Capacity Manager do?

A Capacity Manager is responsible for ensuring that an organization's IT infrastructure and resources can meet current and future business demands. They analyze system capacity, forecast future needs, and optimize resource allocation to prevent performance issues or downtime. This role involves working closely with IT teams, business stakeholders, and vendors to balance cost efficiency with performance requirements. Capacity Managers also develop strategies for scaling infrastructure, manage capacity-related risks, and implement proactive solutions to maintain service levels.

What are some common challenges a Capacity Manager faces, and how can they be addressed?

A Capacity Manager often faces the challenge of accurately predicting resource needs in rapidly changing business environments, which requires both analytical rigor and adaptability. Managing competing priorities among various departments can also be demanding, as different teams may have fluctuating and sometimes conflicting needs. Effective communication and strong collaboration skills are essential to align expectations and secure buy-in from stakeholders. Staying proactive by regularly reviewing data trends and adjusting plans helps prevent bottlenecks or resource shortages, ensuring projects and operations continue smoothly.

What are the key skills and qualifications needed to thrive in the Capacity Manager position, and why are they important?

A Capacity Manager typically requires a strong background in data analysis, demand forecasting, process optimization, and a relevant degree such as in business, engineering, or information technology. Familiarity with capacity planning software, resource management tools, and IT Service Management (ITSM) platforms—along with certifications like ITIL—are highly valued. Strong communication, problem-solving, and stakeholder management skills help set top performers apart. These skills are crucial for ensuring resource efficiency, balancing workload, and supporting organizational growth in dynamic environments.

What are popular job titles related to Capacity Manager jobs in California? For Capacity Manager jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Capacity Manager jobs? Cities in California with the most Capacity Manager job openings:
Capacity Manager jobs near you
Capacity Operations and Analytics Manager

Capacity Operations and Analytics Manager

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 13 days ago

Job description

Our technology has no boundaries! NVIDIA is building the world's most groundbreaking and pioneering computing platforms. Because of our work, scientists, researchers, and engineers can advance their ideas. At its core, our visual computing technology not only enables an outstanding computing experience but it is also energy efficient! We pioneered a supercharged form of computing loved by the most fast-paced computer users in the world - scientists, designers, artists, and gamers. It's not just technology, though! It is our people, some of the brightest in the world, and our company makes NVIDIA one of the most fun, innovative, and dynamic places to work! At the center of NVIDIA are our core values, like innovation, excellence, determination, and team, that guide us to be the best we can be.
We are looking for a Capacity Operations Manager to help lead efforts with large-scale computing operations and planning.
What you will be doing:
  • Manage and optimize GPU capacity and other compute resources across various cloud service providers to meet growing demands and ensure efficient utilization.
  • Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics that support NVIDIA Infrastructure governance programs and strategic capacity decisions.
  • Analyze the technical and business needs for GPU capacity and other compute resources from various internal and external teams.
  • Identify performance bottlenecks in day-to-day usage of compute resources and collaborate with relevant infrastructure teams to resolve them.
  • Drive infrastructure resource efficiency initiatives in partnership with engineering, finance, and product teams.
  • Develop and enhance tooling for our cloud infrastructure and analytics platform to optimize resource usage and performance for NVIDIA and its customers. This includes crafting and developing tools for automating workflows and potentially leveraging AI techniques to extract useful signals and insights from generated data.
  • Partner and cross-collaborate with Finance, Product, Service Owners, and Infrastructure Engineering teams to align cloud capacity management with company goals and develop Infrastructure and Service Level Key Performance Indicators (KPIs) to match Customer satisfaction.
  • Lead multi-year budget-based compute resource planning with engineering.

What we need to see:
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience), and 10+ years of overall experience in cloud computing, specifically in managing or sourcing GPU capacity with cloud service providers. A proven track record of large-scale computing operations and planning is a plus.
  • Strong technical proficiency in cloud architecture, development and deployment, and managing large data sets.
  • Deep understanding of cloud service models (IaaS, PaaS, SaaS) and cloud infrastructure technologies. Experience with Cloud Service Providers such as AWS, Azure, GCP, and OCI is required.
  • Demonstrated experience in employing AI tools and techniques to extract useful signals and insights from data, specifically to improve resource usage and automation
  • Strong understanding and practical application of statistical modeling and machine learning methodologies for improving operational efficiency and informing strategic capacity decisions
  • Proficiency with data analytics, visualization, and monitoring tools such as Kibana, Grafana, Splunk, Prometheus, Tableau, Plotly.
  • Knowledge of analytics, statistical modeling, and machine learning methodologies.
  • Ability to operate effectively amidst uncertainty and rapidly changing business conditions, with an agile mindset and a commitment to ongoing improvement.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered one of the technology world's most desirable employers. Some of the world's most forward-thinking and hardworking people are working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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