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.
- 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.
Nice To Haves
- 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 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.
- 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: Build APIs and Services 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.
Benefits
- equity
- benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
