Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

Capacity Operations and Analytics Manager

NVIDIA

Capacity Operations Manager optimizing GPU capacity and cloud resources at NVIDIA. Leading efforts in large-scale computing operations and collaborative infrastructure management.

Posted 5/28/2026full-timeRemote • California • 🇺🇸 United StatesSeniorLead💰 $168,000 - $270,250 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformGrafanaPrometheusSplunkTableau

About the role

Key responsibilities & impact
  • Manage and optimize GPU capacity and other compute resources across various cloud service providers
  • Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics
  • Analyze the technical and business needs for GPU capacity and other compute resources
  • Identify performance bottlenecks in day-to-day usage of compute resources and collaborate 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
  • Partner and cross-collaborate with Finance, Product, Service Owners, and Infrastructure Engineering teams

Requirements

What you’ll need
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
  • 10+ years of overall experience in cloud computing, specifically in managing or sourcing GPU capacity with cloud service providers
  • 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
  • Strong understanding and practical application of statistical modeling and machine learning methodologies
  • Proficiency with data analytics, visualization, and monitoring tools such as Kibana, Grafana, Splunk, Prometheus, Tableau, Plotly

Benefits

Comp & perks
  • equity
  • benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
GPU capacity managementcloud computingcloud architecturedata modelingstatistical modelingmachine learningdata analyticsdata automationperformance metricscloud service models
Soft Skills
collaborationproblem-solvingcommunicationcross-functional teamworkinitiative
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Software Engineering