Nvidia Senior Technical Product Manager - DGX Systems AI Infrastructure 

United States, California 

457317061

time type

Full time

posted on

Posted 6 Days Ago

job requisition id

—the platforms thattrack recordenterprise platforms and theto drive continued adoption of these solutions across global enterprises.

What you will be doing:

• Own the product lifecycle for DGX systems—from concept through launch and lifecycle management.

• Understand and articulate the unique value propositions ofdifferent DGX architectures (e.g.,H100, B200, GB200, etc.) and how they map to specific AI and HPC workloads.

• Define and prioritize use cases and reference architectures for key verticals including LLMtraining, inferenceat scale, data processing pipelines, and AI research platforms.

• Define system-level requirements (PRDs)including platformsoftwarestacks and cloud-nativeintegration.

• Collaborate with engineering, architecture, and go-to-market teams to align productfeatures, roadmaps andmessaging with market needs.

• Drive product strategy and roadmap for scale-up and scale-out AIinfrastructure.

• Leverage networkingarchitecture knowledge (e.g.,InfiniBand,Ethernet, NVLink, NVSwitch) toenable scalable, high-performance AI clusters.

• Collaborate with datacenter infrastructure and deployment teams to understand power, cooling, rack-level integration, and orchestration challenges.

What We Need to See:

• BS or MS degree in Computer Science, Computer Engineering, or similar field or equivalent experience

• 8+ years of product management, or similar, experience at a technology company with a technology first attitude

• Deep understanding of full-stackAI infrastructure knowledgefrom hardware to platform software

• Strongcommunication andinterpersonal skills

• Strong program management skills - very organized with the ability to multitask and prioritize in a demanding environment

• A curious mind and a hungry soul

Ways to Stand Out from the Crowd:

• Experience deploying systems at scale in modern data center environments

• Successful management of technical products in fast pacedenvironment throughouttheir lifecycle

• Understanding of modern AIOps architectures and an intuition for howto optimize theirperformance

• Agentic AI development and application experience.

• Direct development experience with NVIDIAsoftware, hardware andSDKs