What are the responsibilities and job description for the Senior Technical Product Manager – DGX Enterprise Infrastructure and Cloud-Native Operations position at NVIDIA AI?
Job Requisition ID
JR2017716
Job Category
Marketing
Time Type
Full time
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!
What You’ll Be Doing
In this role, set the vision for the Enterprise Operational Gold Standard. You will define how the world’s most sophisticated companies deploy, manage, and scale their Enterprise AI Factories.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 15, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2017716
Job Category
Marketing
Time Type
Full time
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!
What You’ll Be Doing
In this role, set the vision for the Enterprise Operational Gold Standard. You will 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: You aren't just building scripts; but building APIs 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.
- 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.
- 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 15, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.