Senior Technical Marketing Engineer - Datacenter Networking

Posted 12 Hours Ago
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Santa Clara, CA, USA
In-Office
128K-236K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Leads technical marketing for NVIDIA datacenter networking products, evaluating usability, performance, developer experience, and competitive positioning. Builds benchmarks and technical demonstrations, influences product roadmaps, supports go-to-market execution, and develops technical content with PR teams. Collaborates with engineering, product management, marketing, executives, and customers on networking, storage, cloud, and AI/ML workloads. The role also involves cluster setup, monitoring, automation, and performance analysis.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

As a Senior Technical Marketing Engineer for Datacenter Networking, you will join a dedicated team that is passionate about delivering outstanding developer and user experiences on NVIDIA's networking hardware and software products. This position in Santa Clara, CA, gives you the chance to collaborate with engineering, product, marketing and executive teams and contribute to the advancement of datacenter networking

What you’ll be doing:

  • 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.

What we need to see:

  • We are looking for someone with a 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, which can be complex.

  • 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.

Ways To Stand Out From The Crowd:

  • 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 fabrics (Ethernet or InfiniBand) and basic optics/cabling.

  • Familiarity with storage traffic patterns (e.g., NVMe-oF) and how they impact networks.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
128,000 USD – 201,250 USD for Level 3; and 148,000 USD – 235,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • Bachelor’s or master’s degree in Computer Science or Engineering, or equivalent technical marketing experience
  • At least 5 years of overall professional experience
  • At least 3 years of technical marketing or customer co-innovation experience with datacenter networking products
  • Hands-on experience with north-south and east-west networking in real-world environments
  • Understanding of scale-out network designs, including leaf-spine architectures and capacity/availability trade-offs
  • Familiarity with network collectives for AI workloads
  • Experience with public and hybrid clouds in an enterprise setting
  • Experience deploying and automating network infrastructure in public or private clouds
  • Experience with Ansible and Terraform
  • Experience developing, setting up, and maintaining large storage clusters, including monitoring, logging, and alerting
  • Experience analyzing AI/ML workloads, cluster behavior, and complex workflows
  • Excellent written and verbal communication skills, including technical content and presentation development
  • Ability to lead, influence, and collaborate with hardware and software engineering teams
  • 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/cabling
  • Familiarity with storage traffic patterns such as NVMe-oF and their network impact

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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