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Senior Technical Marketing Engineer - Datacenter Networking

NVIDIA· Technical Product Mktg
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Santa Clara, CA$128k - $201.3kFull-timePosted 7mo ago

About the role

Senior Technical Marketing Engineer for Datacenter Networking at NVIDIA, located in Santa Clara, CA. Collaborates with engineering, product, marketing and executive teams to advance datacenter networking through benchmarks, demos, content, and GTM activities.

Responsibilities

  • Evaluate usability, performance, and developer experience across NVIDIA networking (Ethernet/InfiniBand, DPUs/SmartNICs, software). Identify gaps and influence roadmaps.
  • Build and run clear, repeatable benchmarks and create competitive analyses.
  • Craft and build demos that showcase innovative end-to-end use cases.
  • Roleplay as “customer 0” and provide feedback and solutions whenever necessary.
  • Collaborate with multi-functional partners on go-to-market planning and execution.
  • Engage with product management and engineering to drive and track the impacts of NVIDIA's complete portfolio on crucial application performance benchmarks.
  • Coordinate with internal PR resources and external outlets on the publication and promotion of technical marketing content.

Qualifications

  • Strong educational background in Computer Science or Engineering (BS/MS Degree) or equivalent experience in a Technical Marketing role.
  • At least 5 years of overall experience, with a minimum of 3 years in technical marketing or customer co-innovation working on data center networking products.
  • Hands-on with both N–S and E–W networking in real environments.
  • Solid understanding of scale-out network designs (e.g., leaf–spine) and capacity/availability trade-offs.
  • Familiarity with network collectives for AI workloads. Proficiency in C/C++, Golang, and Python AI/ML frameworks is preferred.
  • Experience with public and hybrid clouds in an Enterprise setting. Knowledge of deploying and automating network infrastructure in public/private clouds, with experience in Ansible/Terraform.
  • Help develop, set up, and maintain large storage clusters. This includes monitoring, logging, and alerting. Also, work with AI/ML workloads to track and analyze behavior in big clusters and workflows.
  • Excellent written and verbal interpersonal skills, including the ability to author original content (both written and presentations).
  • Lead and influence and work with an elite team of hardware and software engineers.

Skills

Required:Educational background in CS/Engineering or equivalentNetworking (N–S and E–W)Scale-out network designs (leaf-spine)Cloud infrastructure (public/hybrid)
Nice to have:AI workloads networkingProgramming languages

Benefits

  • equity
  • benefits (see NVIDIA benefits page)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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