Capacity Operations and Analytics Manager

NVIDIA•Santa Clara, CA

2d•$168,000 - $270,250

About The Position

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and pioneering computing platforms. Because of our work, scientists, researchers, and engineers can advance their ideas. At its core, our visual computing technology not only enables an outstanding computing experience but it is also energy efficient! We pioneered a supercharged form of computing loved by the most fast-paced computer users in the world - scientists, designers, artists, and gamers. It’s not just technology, though! It is our people, some of the brightest in the world, and our company makes NVIDIA one of the most fun, innovative, and dynamic places to work! At the center of NVIDIA are our core values, like innovation, excellence, determination, and team, that guide us to be the best we can be. We are looking for a Capacity Operations Manager to help lead efforts with large-scale computing operations and planning.

Requirements

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.

Responsibilities

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.