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Capacity Jobs in California (NOW HIRING)

Crusoe

Senior GPU Capacity Planner

San Francisco, CA · On-site

About the Role At Crusoe, the Capacity Planning & Efficiency team operates at the critical intersection of all Crusoe products, services, and underlying physical infrastructure. As the Senior GPU ...

Meta

Supply Chain Capacity Engineer

Fremont, CA

$154K/yr

Supply Chain Capacity Engineer Responsibilities: * Own infrastructure supply chain planning and operations for Meta (as part of Meta's overall capacity plan): including servers, network, and data ...

Meta

Supply Chain Capacity Engineer

Menlo Park, CA

$154K/yr

Supply Chain Capacity Engineer Responsibilities: * Own infrastructure supply chain planning and operations for Meta (as part of Meta's overall capacity plan): including servers, network, and data ...

Crusoe

Senior GPU Capacity Planner

Sunnyvale, CA · On-site

About the Role At Crusoe, the Capacity Planning & Efficiency team operates at the critical intersection of all Crusoe products, services, and underlying physical infrastructure. As the Senior GPU ...

Cerebras Systems

What you'll own Capacity planning and forecasting . Build and maintain the 6 / 12 / 26-week rolling capacity model across every cluster. Work with product team to translate customer contracts and ...

Crusoe

Senior GPU Capacity Planner

San Francisco, CA · On-site

About the Role At Crusoe, the Capacity Planning & Efficiency team operates at the critical intersection of all Crusoe products, services, and underlying physical infrastructure. As the Senior GPU ...

SwiftX Inc.

Linehaul Capacity Sr Expert

Eastvale, CA

$99K - $135K/yr

* Manage and optimize nationwide linehaul transportation resources and trucking capacity * Build and maintain a reliable carrier and trucking resource pool * Monitor and improve linehaul transit time ...

SwiftX Inc.

Linehaul Capacity Sr Expert

Corona, CA · On-site

$98K - $132K/yr

* Manage and optimize nationwide linehaul transportation resources and trucking capacity * Build and maintain a reliable carrier and trucking resource pool * Monitor and improve linehaul transit time ...

SwiftX Inc.

Linehaul Capacity Sr Expert

Eastvale, CA · On-site

$98K - $132K/yr

* Manage and optimize nationwide linehaul transportation resources and trucking capacity * Build and maintain a reliable carrier and trucking resource pool * Monitor and improve linehaul transit time ...

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Showing results 41-60

All JobsCapacity JobsCapacity Jobs in California

Capacity information

See California salary details

$39.5K

$67.8K

$129.3K

How much do capacity jobs pay per year?

As of Aug 9, 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 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 is a capacity planner?

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 jobs near you
Infographic showing various Capacity job openings in California as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $67,818 per year, or $32.6 per hour.

Senior GPU Capacity Planner

Crusoe

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
About the Role
At Crusoe, the Capacity Planning & Efficiency team operates at the critical intersection of all Crusoe products, services, and underlying physical infrastructure. As the Senior GPU Capacity and Optimization Planner, you will own the day-to-day management, allocation, and strategic bin-packing optimization of Crusoe Cloud's high-performance GPU fleet. This is a highly cross-functional, high-impact role that bridges the gap between our technical infrastructure and our Go-To-Market (GTM) engine.
You will work closely with Sales, Customer Success, Solutions Engineering, and Fleet Management to translate commercial customer pipelines into requirements within the datacenter. Your mission will be to maximize resource utilization, eliminate fragmentation across accelerated computing clusters, and ensure our AI/ML customers receive seamless performance, directly supporting Crusoe's mission to align the future of computing with environmental sustainability.
What You'll Be Working On
  • GPU Fleet Bin-Packing & Optimization: Develop and execute advanced bin-packing strategies to optimize GPU resource allocations within our data centers, minimizing fragmentation and maximizing cluster utilization.
  • GTM & Pipeline Alignment: Act as the primary technical capacity partner to Sales, Customer Success, and Solutions Engineering, reviewing upcoming pipeline demands and mapping them to physical hardware constraints.
  • Cross-Functional Capacity Execution: Collaborate tightly with Fleet Management, Infrastructure Engineering, and Data Center Operations to ensure maximum uptime of our customer workloads.
  • Utilization Modeling & Metrics: Design and implement models to track real-time GPU cluster headroom, workload densities, and allocation velocities to prevent supply bottlenecks.
  • Strategic Demand Forecasting: Synthesize commercial demand signals and large-scale AI training/inference architectural trends to inform hardware placement and scheduling.
  • Automation Requirements: Partner with Core Software Engineering to translate manual allocation processes into scalable, automated programmatic scheduling and visualization tools.

What You'll Bring to the Team
  • Proven Capacity & Scheduling Domain Expertise: 3+ years of direct experience in Infrastructure Capacity Planning, Technical Product Management, or Systems Engineering with heavy exposure to machine-level resource scaling.
  • Hyperscaler Experience: Experience working within a hyperscaler cloud environment (e.g., AWS, GCP, Azure, Oracle Cloud) or a specialized, large-scale AI/accelerated compute cloud fabric.
  • GPU & Accelerated Compute Knowledge: Solid foundational understanding of GPU topologies (e.g., NVIDIA H100/B200 ecosystems).
  • Strong Cross-Functional Navigation: Proven ability to communicate complex infrastructure and physical layout constraints clearly to business stakeholders like Sales and Customer Success, while translating commercial requirements back to hardware engineers.
  • Education: Bachelor's or Master's degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or an equivalent quantitative field.

Bonus Points
  • Deep technical familiarity with distributed AI training frameworks and multi-tenant cloud storage dynamics.
  • A passion for green energy and aligning massive computing scales with environmental sustainability initiatives.

Benefits:
  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional perks & programs specific to location

Compensation Range
Compensation will be paid in the range of up to $160,000 - $195,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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