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NVIDIA is seeking a world-classSenior Product Managerto architect for the operational future of Enterprise AI. While the NVIDIA DGX is the undisputed "Gold Standard" for AI performance, the enterpriseon-premiseenvironment presents an outstanding challenge: How do you make a 1,000-node private cluster feel as fluid, scalable, and invisible as the public cloud? The mission is to deliver the"NVIDIA Experience"within the customer's data center. In this role, own the software-defined blueprint that transforms raw DGX hardware into a high-availability, self-healing AI Factory!

What You'll Be Doing:

In this role, set the vision for theEnterprise Operational Gold Standard. You will define how the world's most sophisticated companies deploy, manage, and scale theirEnterprise AI Factories.

• Productize the On-Prem Lifecycle:Define the "Day 0 through Day 2" experience for DGX SuperPODs. Lead the development of products that handle everything from bare-metal provisioning and network fabric configuration to automated "one-click" firmware rollouts.

• Build the "Pit Crew" (Observability):Develop a definitive telemetry and diagnostic suite. When a job slows down in a private data center, your framework should provide the "one-click" answer-isolating a thermal throttle, a degraded InfiniBand rail, or a cabling fault instantly.

• Bridge Hardware to Kubernetes:Lead the integration of DGX systems into the cloud-native ecosystem. Ensure that enterprise-grade features like GPU partitioning (MIG), multi-node scaling, and niche scheduling are declarative and seamless.

• Standardize at Scale:You aren't just building scripts; but buildingAPIs and Services. Your goal is to eliminate "management snowflakes," ensuring that every enterprise DGX deployment is standardized, repeatable, and resilient.

• Drive Predictive Operations:Move the needle from reactive maintenance to self-healing infrastructure. Thoughtfully define the features for automated health checks that keep the fleet at peak performance without manual intervention.

What We Need to See:

• Enterprise Data Center DNA: 12+ years demonstrated ability in Product Management,,with specific around on-premise infrastructure, private cloud, or large-scale systems management.

• Bachelors Degree in Computer Science or related field or equivalent experience.

• The "Platform-First" Approach:A track record of turning complex hardware operations into software-defined workflows. You understand that in the enterprise,Product = Hardware + Software + Operations.

• Cloud-Native Expertise:Expert-level understanding of Kubernetes operators, container orchestration, and how to translate physical hardware constraints into declarative code.

• Operational Scars:You've lived through the challenges of managing large-scale Linux fleets in air-gapped or restricted enterprise environments. You know what keeps SREs up at night.

• Technical Breadth:Deep familiarity with data center networking (InfiniBand/Ethernet), storage architectures, and the firmware-to-OS handshake.

• Leadership & Evolution:This is a high-visibility role at the intersection of multiple engineering fields. As you define the NVIDIA Datacenter Experience, you will be positioned on a direct leadership track, with the explicit expectation to transition into formal people management as the team expands.

Ways to Stand Out from the Crowd:

• Automation Evangelist:You have experience with infrastructure-as-code (Ansible, Terraform, Pulumi) in a bare-metal context.

• AIOps Pioneer:You have a vision for using AI to manage AI-applying telemetry and machine learning to predict and prevent infrastructure failures.

• The NVIDIA Narrative:You believe the "Gold Standard" isn't just about speed-it's about the reliability and simplicity of theAutomated Pit Crew.

NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you!