Senior Technical Program Manager, Cloud Infrastructure

Responsibilities

• Coordinate end-to-end remote bootstrapping, active bring-up, and validation of large server fleets to transition clusters from physical rack-and-stack to customer-ready states.
• Drive the adoption of automation tooling for fleet maintenance, node security, and burn-in, while establishing workflows to resolve deployment issues.
• Partner with internal NVIDIA software teams to integrate and deploy core software stacks within on-prem environments.
• Lead day-to-day capacity operations with a focus on availability, maintenance, and multi-tiered infrastructure workflows.
• Map and intercept incoming technology roadmaps against physical data center readiness timelines.
• Manage program risks and requirements under the Product Lifecycle (PLC) framework using Jira and other program management tools.
• Establish critical metrics to track program velocity, infrastructure availability, and cluster health.

Requirements

• 10+ years of technical program management experience, specifically driving cloud infrastructure programs and hardware/software integration.
• Extensive hands-on experience in cloud or on-prem enterprise infrastructure, data center bring-up, and bare-metal deployments.
• Expert-level proficiency with Jira, Smartsheet, or similar program management tools within an Agile/Scrum framework.
• Exceptional strategic and tactical thinking abilities with the capacity to build consensus and drive success through uncertainty.
• Outstanding communication and technical presentation skills to align senior multi-functional collaborators.
• BS or MS in Electrical Engineering, Computer Science, or equivalent experience.

Preferred Qualifications

• In-depth knowledge of NVIDIA GPU products, cluster deployment, and high-performance computing (HPC) infrastructure.
• Experience managing accelerated deployment schedules and asset-backed operational models.
• Background in establishing automated server benchmarking and infrastructure health validation workflows.
• Familiarity with cloud-native architectures, managed Kubernetes platform layers, and distributed systems.

About the Company

NVIDIA's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally.