Senior Technical Marketing Engineer - Datacenter Networking

NVIDIA•Santa Clara, CA
•$128,000 - $235,750•Onsite

About The Position

NVIDIA is seeking a Senior Technical Marketing Engineer to join its Datacenter Networking team in Santa Clara, California. The role focuses on delivering strong developer and user experiences across NVIDIA networking hardware and software products, including Ethernet, InfiniBand, DPUs, and SmartNICs. The engineer will work with engineering, product, marketing, and executive teams to advance datacenter networking and influence product roadmaps through hands-on evaluation, benchmarking, demonstrations, and customer-oriented feedback. The position also supports go-to-market planning and execution, application-performance benchmarking, and the creation and promotion of technical marketing content. The role includes helping develop, set up, and maintain large storage clusters, as well as monitoring, logging, alerting, and analyzing AI/ML workload behavior in complex clusters and workflows.

Requirements

  • Bachelor’s or master’s degree in Computer Science or Engineering, or equivalent experience in a technical marketing role.
  • At least 5 years of overall experience.
  • At least 3 years in technical marketing or customer co-innovation involving data center networking products.
  • Hands-on experience with both north-south and east-west networking in real environments.
  • Solid understanding of scale-out network designs, such as leaf-spine, and capacity and availability trade-offs.
  • Experience with public and hybrid clouds in an enterprise setting.
  • Knowledge of deploying and automating network infrastructure in public and private clouds, including experience with Ansible or Terraform.
  • Excellent written and verbal interpersonal skills, including the ability to create original written content and presentations.

Nice To Haves

  • Familiarity with network collectives for AI workloads.
  • Proficiency in C/C++, Golang, and Python AI/ML frameworks.
  • Hands-on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers.
  • Experience with NVIDIA BlueField DPU and DOCA.
  • Exposure to high-speed Ethernet or InfiniBand fabrics and basic optics and cabling.
  • Familiarity with storage traffic patterns, such as NVMe-oF, and their impact on networks.

Responsibilities

  • Evaluate usability, performance, and developer experience across NVIDIA networking products and software; identify gaps and influence roadmaps.
  • Build and run clear, repeatable benchmarks and create competitive analyses.
  • Craft and build demonstrations showcasing innovative end-to-end use cases.
  • Act as “customer 0” and provide feedback and solutions when necessary.
  • Collaborate with cross-functional partners on go-to-market planning and execution.
  • Work with product management and engineering to drive and track the impact of NVIDIA’s portfolio on important application-performance benchmarks.
  • Coordinate with internal PR resources and external outlets to publish and promote technical marketing content.
  • Help develop, set up, and maintain large storage clusters, including monitoring, logging, and alerting.
  • Work with AI/ML workloads to track and analyze behavior in large clusters and complex workflows.
  • Lead, influence, and work with hardware and software engineering teams.

Benefits

  • Equity
  • Benefits
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