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NVIDIA

Designs the chips and software that power AI

OEM Product Manager - Networking

Technical Product ManagementPosted on Nov 9
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent experience.
  • A minimum of 12 years of related experience in product management, technical product management, or solution architecture within data center networking, server platforms, or related infrastructure.
  • Strong technical knowledge of Ethernet and InfiniBand networking, including adapters, switches, network topologies, RDMA, congestion management, and fabric scalability.
  • Understanding of NVIDIA ConnectX, BlueField, Spectrum, and Quantum product families, including how networking hardware, firmware, drivers, and management software affect system integration and deployment readiness.
  • Experience working with OEM partners through product planning, engineering validation, introduction, and lifecycle management.
  • Demonstrated success influencing roadmaps, securing product adoption or design wins, and driving complex initiatives across organizational boundaries.
  • Strong communication, presentation, negotiation, and prioritization skills, with the ability to translate technical differentiation into business value and drive accountability without direct authority.

Responsibilities

  • Define and complete networking product strategies for assigned OEM partners, aligning NVIDIA roadmaps with OEM server, rack, and infrastructure plans.
  • Lead product engagement between the NVIDIA Networking Business Unit and OEM teams, translating partner and end-customer requirements into clear product priorities and roadmap recommendations.
  • Drive build wins across adapters, DPUs, and switches by composing joint adoption plans with target platforms, configurations, decision achievements, and launch commitments.
  • Translate technical capabilities into compelling product positioning for AI training, inference, HPC, and enterprise workloads, helping partners evaluate performance, scalability, infrastructure efficiency, and total cost of ownership.
  • Orchestrate qualification and launch readiness across NVIDIA and OEM engineering, software, validation, operations, support, and marketing teams; resolve dependencies involving hardware availability, software maturity, interoperability, and platform schedules.
  • Guide portfolio expansion and lifecycle transitions, partnering with account teams to overcome technical and commercial barriers and communicating adoption progress, competitive risks, and actionable OEM feedback to leadership.

Desired Qualifications

  • Direct experience bringing NVIDIA networking products to market through OEM partners and expanding adoption across multiple product families.
  • Experience with AI infrastructure, GPU clusters, rack-scale systems, or large HPC deployments.
  • Deep knowledge of RoCE, InfiniBand fabrics, collective communications, network telemetry, and performance tuning.
  • Experience positioning DPUs for infrastructure offload, security, storage, virtualization, or multitenant environments.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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