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

About the role

Set the vision for the Enterprise Operational Gold Standard. Own the software-defined blueprint that transforms raw DGX hardware into a high-availability, self-healing AI Factory.

Responsibilities

• Define the "Day 0 through Day 2" experience for DGX SuperPODs.
• Develop 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 such as thermal throttles, degraded InfiniBand rails, or cabling faults.
• 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 standardize at scale, eliminating "management snowflakes" and ensuring every enterprise DGX deployment is standardized, repeatable, and resilient.
• Drive predictive operations by defining features for automated health checks that keep the fleet at peak performance without manual intervention.

Requirements

• 12+ years demonstrated ability in Product Management, specifically in on-premise infrastructure, private cloud, or large-scale systems management.
• Bachelor's Degree in Computer Science or related field or equivalent experience.

Qualifications

• Track record of turning complex hardware operations into software-defined workflows.
• Expert-level understanding of Kubernetes operators, container orchestration, and translating physical hardware constraints into declarative code.
• Experience managing large-scale Linux fleets in air-gapped or restricted enterprise environments.
• Familiarity with data center networking (InfiniBand/Ethernet), storage architectures, and the firmware-to-OS handshake.
• Leadership and evolution mindset, with the potential to transition into formal people management as the team expands.

Skills

• Automation Evangelist: Experience with infrastructure-as-code (Ansible, Terraform, Pulumi) in a bare-metal context.
• AIOps Pioneer: Vision for using AI to manage AI, applying telemetry and machine learning to predict and prevent infrastructure failures.

Benefits

• NVIDIA is widely considered one of the technology world’s most desirable employers.
• Base salary range: $208,000 - $327,750 for Level 5, and $240,000 - $379,500 for Level 6.
• Eligibility for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

This posting is for an existing vacancy. Applications for this job will be accepted at least until May 15, 2026.