Role at a glance
- Salary
- $208K – $379.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelors Degree in Computer Science or related field or equivalent experience.
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Role Summary
NVIDIA is seeking a Senior Product Manager to define the software-defined operational blueprint for enterprise, on-premise DGX AI infrastructure. The role focuses on making large private clusters scalable, observable, standardized, and self-healing through products and services spanning hardware operations, Kubernetes integration, and predictive maintenance.
What You'll Do
- Define the Day 0 through Day 2 lifecycle experience for DGX SuperPODs, including bare-metal provisioning, network fabric configuration,...
- Develop a telemetry and diagnostic suite to isolate infrastructure issues such as thermal throttling, degraded InfiniBand rails, and...
- Lead integration of DGX systems into the cloud-native ecosystem, including GPU partitioning, multi-node scaling, and scheduling.
- Build APIs and services that standardize and make enterprise DGX deployments repeatable and resilient.
- Define automated health-check features to support self-healing infrastructure and reduce manual intervention.
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View full postingQualifications
Requires 12+ years of product management experience focused on on-premise infrastructure, private cloud, or large-scale systems management; a bachelor's degree in computer science or a related field or equivalent experience; and expertise in Kubernetes operators, container orchestration, large-scale Linux fleets, data center networking, storage architectures, and firmware-to-OS integration.
Required
- 12+ years demonstrated ability in Product Management, with specific around on-premise infrastructure, private cloud, or large-scale...
- Bachelors Degree in Computer Science or related field or equivalent experience.
- Expert-level understanding of Kubernetes operators, container orchestration, and how to translate physical hardware constraints into...
- 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.
Preferred
- Experience with infrastructure-as-code (Ansible, Terraform, Pulumi) in a bare-metal context.
- A vision for using AI to manage AI—applying telemetry and machine learning to predict and prevent infrastructure failures.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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 the Automated 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!
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.