Senior Technical Product Manager – DGX Enterprise Infrastructure and Cloud-Native Operations

NVIDIA•Us, CA

About The Position

NVIDIA is seeking a world-class Senior Product Manager to architect for the operational future of Enterprise AI. While the NVIDIA DGX is the undisputed "Gold Standard" for AI performance, the enterprise on-premise environment 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!

Requirements

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.
A track record of turning complex hardware operations into software-defined workflows.
Expert-level understanding of Kubernetes operators, container orchestration, and how to translate physical hardware constraints into declarative code.
Experience managing large-scale Linux fleets in air-gapped or restricted enterprise environments.
Deep familiarity with data center networking (InfiniBand/Ethernet), storage architectures, and the firmware-to-OS handshake.
High-visibility role at the intersection of multiple engineering fields.
Explicit expectation to transition into formal people management as the team expands.

Nice To Haves

Experience with infrastructure-as-code (Ansible, Terraform, Pulumi) in a bare-metal context.
Vision for using AI to manage AI—applying telemetry and machine learning to predict and prevent infrastructure failures.
Belief that the "Gold Standard" isn't just about speed—it's about the reliability and simplicity of the Automated Pit Crew.

Responsibilities

Set the vision for the Enterprise Operational Gold Standard.
Define how the world’s most sophisticated companies deploy, manage, and scale their Enterprise AI Factories.
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.
Develop a definitive telemetry and diagnostic suite to isolate issues like thermal throttle, degraded InfiniBand rail, or cabling faults instantly.
Lead the integration of DGX systems into the cloud-native ecosystem, ensuring enterprise-grade features like GPU partitioning (MIG), multi-node scaling, and niche scheduling are declarative and seamless.
Build APIs and Services to eliminate "management snowflakes," ensuring that every enterprise DGX deployment is standardized, repeatable, and resilient.
Define features for automated health checks that keep the fleet at peak performance without manual intervention, moving from reactive maintenance to self-healing infrastructure.