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Capacity Planning Engineer Jobs (NOW HIRING)

Nvidia

Manager, Capacity Planning

Santa Clara, CA

The individual will lead and mentor a team of roughly six industrial engineers, establishing key ... date capacity planning data. * Capability to publish a long-range forecast aligned with the ...

Dexian

Mainframe Capacity Specialist

Dallas, TX · On-site

Mainframe Capacity Planning Engineer Location: Hybrid - CTH Position Overview Seeking an experienced Mainframe Capacity Planning Engineer to support enterprise infrastructure planning and performance ...

Danaher

Staff Analyst, Capacity Planning

Chaska, MN · On-site

$120K - $140K/yr

The Capacity Planning, Staff Analyst, will be responsible for modeling, analyzing, and optimizing ... This role partners closely with Operations, Manufacturing Engineering, Supply Chain, Product ...

Danaher

Staff Analyst, Capacity Planning

Chaska, MN · On-site

$120K - $140K/yr

The Capacity Planning, Staff Analyst, will be responsible for modeling, analyzing, and optimizing ... This role partners closely with Operations, Manufacturing Engineering, Supply Chain, Product ...

Yazaki

Capacity Planning Volume Specialist

Canton, MI · Hybrid

Performs supplier CPV reviews related to engineering changes between planning rounds to identify and address potential capacity impacts. * Documents and maintains records of supplier Capacity ...

Yazaki

Capacity Planning Volume Specialist

Canton, MI · On-site

Performs supplier CPV reviews related to engineering changes between planning rounds to identify and address potential capacity impacts. * Documents and maintains records of supplier Capacity ...

Protingent

Contract Planning Engineer

Charlotte, NC · On-site

$44 - $48/hr

Contract Planning Engineer Position Description : Protingent Staffing has an exciting Contract ... You will also submit capacity triggers as necessary and forecast and trend bandwidth growth to ...

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Capacity Planning Engineer information

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How much do capacity planning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for capacity planning engineer in the United States is $115,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Capacity Planning Engineer vs Production Planner?

AspectCapacity Planning EngineerProduction Planner
Required CredentialsBachelor's in Engineering, Operations, or related field; certifications like APICS CPIM beneficialBachelor's in Manufacturing, Business, or related field; certifications like APICS CPIM common
Work EnvironmentManufacturing plants, supply chain departments, engineering teamsProduction facilities, manufacturing units, supply chain offices
Employer & Industry UsageManufacturing, industrial engineering, supply chain companiesFactories, production companies, logistics firms

While both roles focus on manufacturing efficiency, Capacity Planning Engineers primarily analyze and optimize production capacity to meet future demand, often working on technical and engineering aspects. Production Planners coordinate daily production schedules to ensure timely output. The roles overlap in supply chain and manufacturing environments but differ in scope and technical focus.

How does a Capacity Planning Engineer typically collaborate with other departments to ensure optimal resource allocation?

Capacity Planning Engineers work closely with teams such as operations, IT, and project management to forecast resource needs and align capacity with business goals. They frequently attend cross-functional meetings to understand upcoming projects, anticipated demand fluctuations, and potential bottlenecks. Effective communication and negotiation skills are essential, as they must balance technical constraints with organizational priorities. Collaboration is often ongoing, with regular updates to plans as business needs evolve.

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

To excel as a Capacity Planning Engineer, you typically need a background in industrial engineering, operations research, or a related field, with strong analytical and quantitative skills. Familiarity with capacity planning tools, data analysis software (such as Excel, SQL, or specialized ERP/MRP systems), and sometimes certifications like Six Sigma are valuable. Effective communication, problem-solving abilities, and attention to detail help you collaborate across teams and proactively address resource challenges. These competencies ensure that organizations can efficiently manage resources, anticipate demand, and minimize operational bottlenecks.

What does a Capacity Planning Engineer do?

A Capacity Planning Engineer is responsible for analyzing current and future resource needs within an organization to ensure systems, networks, or production processes can handle forecasted workloads. They use data and predictive modeling to prevent bottlenecks, optimize performance, and plan for upgrades or expansions. Their role is crucial in maintaining efficiency and minimizing downtime, especially in industries like IT, manufacturing, and utilities. Capacity Planning Engineers often collaborate with cross-functional teams to align technical capabilities with business objectives.
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Capacity Planning Engineer jobs near you
Infographic showing various Capacity Planning Engineer job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $115,341 per year, or $55.5 per hour.
Manager, Capacity Planning

Manager, Capacity Planning

Nvidia

Santa Clara, CA

Full-time

Posted 7 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking a dynamic leader to own our global capacity planning. This individual will lead the end-to-end capacity planning process across foundries and contract manufacturers sites. This position uniquely stands out by blending traditional supply chain management with advanced AI, champion the use of Generative AI, advanced optimization, and digital twins to improve resilience and capital efficiency! Join us to build and scale decision-making supported by Simulation and lead a high-performing capacity planning team.

What you'll be doing:

  • The individual will lead and mentor a team of roughly six industrial engineers, establishing key objectives that harmonize with supply chain and manufacturing goals.

  • This leader will be responsible for developing advanced capacity models and algorithms to pinpoint investment needs and risks across diverse product lines, while partnering with data science teams to integrate AI/ML techniques and automated scenario generation.

  • By collaborating cross-functionally with Finance, Engineering, and IT, the individual will ensure all plans are actionable and aligned with business priorities.

  • Furthermore, the leader will standardize workflows and metrics, such as utilization targets, and work with IT to seamlessly integrate these planning models into enterprise systems like ERP, MES, and Anaplan.

What we need to see:

  • 8+ overall years of related experience and 2+ years of experience leading a team

  • Bachelor's degree in engineering or related field (or equivalent experience). Masters preferred.

  • Expertise in driving scenario planning and "what-if" analyses to evaluate trade-offs under demand, supply, and technology uncertainty.

  • Ability to translate sophisticated models into clear narratives and decisions for cross-functional and executive alignment.

  • Experience working with functional engineering groups and contract manufacturer management to generate up-to-date capacity planning data.

  • Capability to publish a long-range forecast aligned with the sourcing strategy, ensuring compliance, timeliness, and completeness.

With competitive salaries and a generous benefits package, we are widely considered to be technology industry's best employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 247,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 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.

What Nvidia employees say

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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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