NVIDIA Corporation

Capacity Operations and Analytics Manager

NVIDIA Corporation$168K — $270K *
US-AnywhereRemote in Santa Clara, CA
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience
  • 10+ years of experience in cloud computing and GPU capacity management
  • Strong technical knowledge of cloud architecture and large data sets
  • Deep understanding of cloud service models (IaaS, PaaS, SaaS)
  • Experience with AWS, Azure, GCP, and OCI
  • Proficiency in AI tools for data analysis
  • Familiarity with data analytics and visualization tools like Tableau and Grafana

Responsibilities

  • Manage and optimize GPU capacity across cloud service providers
  • Build and maintain data models and reporting systems
  • Analyze technical and business needs for compute resources
  • Identify and address performance bottlenecks in compute usage
  • Drive efficiency initiatives with engineering and finance teams
  • Develop tools for cloud infrastructure and analytics platform
  • Lead budget-based compute resource planning

Benefits

  • Equity participation
  • Comprehensive benefits package
  • Opportunities for professional development
  • Dynamic work environment at a leading tech company
Full Job Description
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.


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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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