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

ATS Keywords

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Hard Skills

GPU capacity managementcloud computingcloud architecturedata modelingstatistical modelingmachine learningdata analyticsdata automationperformance metricscloud service models

Soft Skills

collaborationproblem-solvingcommunicationcross-functional teamworkinitiative

Tools & Technologies

AWSAzureGCPOCIKibanaGrafanaSplunkPrometheusTableauPlotly

Certifications & Qualifications

Bachelor's degree in Computer ScienceMaster's degree in Software Engineering

Industry Keywords

cloud service providersIaaSPaaSSaaSinfrastructure resource efficiencydata visualizationperformance bottleneckscloud infrastructure technologiesdata insightscompute resources

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
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