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Capacity Jobs (NOW HIRING)

Bombardier

Capacity Planner/Scheduler

Dallas, TX · On-site

Provide capacity planning/scheduling functions for the repair station, for example, staffing forecasts and hanger plans * Interface with management in support of the RFP process * Coordinate ...

onsemi

Capacity Planner - Staff

Scottsdale, AZ

As a Staff Capacity Planner, you will have the opportunity to participate in the process and system transformation efforts for the global supply chain and its stakeholder organizations. You'll be a ...

Hitachi

Production Capacity Planner

Richland, MS · Remote

As a Production Capacity Planner , you will lead the transformation toward a more proactive, transparent, and synchronized planning organization-ensuring the business can meet growing market demand ...

New

Ford Motor Company

Capacity Planning Analyst

Dearborn, MI · Hybrid

$99K - $166K/yr

Knowledge of Global Capacity Planning and Manufacturing Capacity Planning systems * Proficiency in MS Office Suite (Strong Excel Skills) * An understanding of the business practices and systems ...

The Hartford

Capacity Planning Consultant

OR · On-site +1

$74K - $111K/yr

Capacity Planning Consultant This role can be done in office or remotely The capacity Planning Consultant is accountable for the development and maintenance of comprehensive staffing models ...

Phononic Inc.

Capacity Planner (Bangkok, Thailand)

Summary We are seeking a hands-on, energetic, highly adaptive Capacity Planner in our Bangkok, Thailand office to support a fast-paced, vertically integrated manufacturing operation operating under ...

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$40K

$68.7K

$131K

How much do capacity jobs pay per year?

As of Jun 10, 2026, the average yearly pay for capacity in the United States is $68,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $87,000.00 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.
More about Capacity jobs
What cities are hiring for Capacity jobs? Cities with the most Capacity job openings:
What are the most commonly searched types of Capacity jobs? The most popular types of Capacity jobs are:
What states have the most Capacity jobs? States with the most job openings for Capacity jobs include:
Capacity jobs near you
Infographic showing various Capacity job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $68,718 per year, or $33 per hour.
Capacity Operations Manager

Capacity Operations Manager

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 22 days ago

Job description

Our technology is limitless! NVIDIA is developing the world's most innovative and groundbreaking computing platforms. Due to our work, scientists, researchers, and engineers are able to advance their ideas. At its essence, our visual computing technology offers not only an outstanding computing experience but also energy efficiency! We led the way in a supercharged style of computing embraced by the fastest-moving computer users globally-scientists, designers, artists, and gamers. However, it's more than just technology! It's our people, some of the brightest in the world, and our company makes NVIDIA one of the most fun, inventive, and dynamic workplaces! At the core of NVIDIA are values such as innovation, excellence, determination, and collaboration that inspire us to achieve our best.
What you will be doing:
  • Coordinate the development of High Performance Computing (HPC) clusters, collaborating closely with internal and external engineering teams.
  • Direct and improve GPU capacity and additional compute resources across diverse cloud service platforms to satisfy rising needs and secure efficient deployment.
  • Design, improve, and manage data models, reporting platforms, data automation solutions, dashboards, and performance measures that back NVIDIA Infrastructure governance programs and strategic capacity decisions.
  • Assess the technical and business requirements for GPU capacity and other compute resources from different internal and external groups.
  • 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 bringing to bear 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 benchmarks to match Customer satisfaction.

What we need to see:
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
  • 8+ years of overall experience in cloud computing, specifically in managing or using GPU capacity for high performance computing. A proven 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. Experience with command line interfaces and shell scripting languages.
  • Comprehensive knowledge of cloud service models (IaaS, PaaS, SaaS) and cloud infrastructure technologies. Practical experience with Cloud Service Providers including AWS, Azure, GCP, and OCI is essential.
  • Demonstrated experience in bringing to bear AI tools and techniques to extract useful signals and insights from data, specifically to improve resource usage and automation.
  • Deep knowledge and active use of statistical modeling and machine learning approaches for boosting operational efficiency and supporting strategic capacity decisions.
  • Understanding of analytics, statistical modeling, and machine learning methodologies.
  • Strong communication and relationship-building skills, with the ability to work well across different departments and contribute to strategic decisions.
  • Self-starter, self-motivated, focused, and self-sufficient, with a willingness to learn new challenges and adapt quickly in a dynamic environment.
  • Ability to operate effectively amidst uncertainty and rapidly changing business conditions, with an agile approach 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 self-motivated, 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 136,000 USD - 218,500 USD for Level 4, and 176,000 USD - 276,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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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