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Capacity Jobs in California (NOW HIRING)

Senior AI/ML Capacity Engineer

Sunnyvale, CA · On-site +1

$144K - $261K/yr

GM is looking for aSeniorCapacity Engineer to join the AV Capacity and Performance Engineering teamin the AVInfrastructure orgto support our critical efforts in developing autonomous vehicles.The ...

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See California salary details

$39.5K

$67.8K

$129.3K

How much do capacity jobs pay per year?

As of Jun 10, 2026, the average yearly pay for capacity 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 are some of the main challenges faced by professionals in capacity planning roles, and how can they be addressed?

Professionals in capacity planning often face challenges such as rapidly changing demand forecasts, aligning resources with fluctuating workloads, and ensuring optimal utilization without overextending the team or incurring unnecessary costs. These challenges can be addressed by leveraging data analytics tools to improve forecasting accuracy, maintaining open communication with cross-functional teams to anticipate needs, and developing flexible strategies that allow for quick adjustments. Successful capacity planners also regularly review and update processes to stay agile in the face of market or organizational changes.

What is the difference between Capacity vs Data Analyst?

AspectCapacityData Analyst
Required CredentialsVaries; often includes business or industry-specific certificationsBachelor's degree in data science, statistics, or related field
Work EnvironmentBusiness operations, project management, or client-facing rolesData analysis, reporting, and visualization in office or remote settings
Industry UsageUsed across various industries for resource planning and managementPrimarily in tech, finance, marketing, and healthcare sectors
Search & Comparison IntentUnderstanding role scope and responsibilitiesComparing data analysis skills and job functions

Capacity roles focus on resource management and operational support, while Data Analysts specialize in interpreting data to inform business decisions. Both roles are essential in their respective areas, but they differ in skills, credentials, and daily tasks.

What are the key skills and qualifications needed to thrive as a Capacity Planner, and why are they important?

To thrive as a Capacity Planner, you need strong analytical skills, attention to detail, and a background in operations, logistics, or supply chain management, often supported by a relevant degree. Familiarity with forecasting tools, spreadsheet software like Excel, and enterprise resource planning (ERP) systems is typically required. Excellent communication, problem-solving abilities, and adaptability help you collaborate effectively and respond to shifting business needs. These skills enable accurate resource allocation, cost efficiency, and the ability to anticipate and mitigate operational bottlenecks.

What are capacity planners?

Capacity planners are professionals responsible for ensuring that an organization has the necessary resources—such as staff, equipment, and infrastructure—to meet current and future demands. They use data analysis and forecasting techniques to predict resource needs and plan for optimal utilization. Capacity planners play a crucial role in industries like manufacturing, IT, and logistics, helping organizations avoid under- or over-utilization of resources and maintain efficient operations.
What are the most commonly searched types of Capacity jobs in California? The most popular types of Capacity jobs in California are:
What cities in California are hiring for Capacity jobs? Cities in California with the most Capacity job openings:
Capacity Operations and Analytics Manager

Capacity Operations and Analytics Manager

Nvidia

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