NVIDIA

NVIDIA

Posted via Workday

Senior Technical Marketing Engineer - Datacenter Networking

Posted Aug 5, 2026

Role at a glance

Salary
$128K – $235.8K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
At least 5 years of overall experience, with a minimum of 3 years in technical marketing or customer co-innovation working on data...
Education
Computer Science or Engineering (BS/MS Degree) or equivalent experience in a Technical Marketing role.

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Role Summary

AI-generated

The Senior Technical Marketing Engineer for Datacenter Networking joins a team focused on developer and user experiences for NVIDIA networking hardware and software products. The role evaluates networking technologies and use cases, collaborates across engineering, product, marketing, executive, PR, and external teams, and contributes to datacenter networking advancement.

What You'll Do

  • Evaluate usability, performance, and developer experience across NVIDIA networking products and identify gaps that influence roadmaps.
  • Build and run repeatable benchmarks and create competitive analyses.
  • Craft and build demonstrations showcasing innovative end-to-end use cases.
  • 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 application performance benchmarks.
  • Coordinate with internal PR resources and external outlets on the publication and promotion of technical marketing content.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

BS/MS degree in Computer Science or Engineering, or equivalent technical marketing experience; at least 5 years of overall experience, including at least 3 years in technical marketing or customer co-innovation on data center networking products; hands-on N–S and E–W networking experience; understanding of scale-out network designs and capacity/availability trade-offs; experience with public and hybrid clouds, network infrastructure automation, storage clusters, and AI/ML workloads; excellent written and verbal interpersonal skills.

Required

  • Computer Science or Engineering (BS/MS Degree) or equivalent experience in a Technical Marketing role
  • At least 5 years of overall experience
  • Minimum of 3 years in technical marketing or customer co-innovation working on data center networking products
  • Hands-on experience with both N–S and E–W networking in real environments
  • Understanding of scale-out network designs, including leaf–spine, and capacity/availability trade-offs
  • Experience with public and hybrid clouds in an Enterprise setting
  • Experience deploying and automating network infrastructure in public/private clouds with Ansible/Terraform
  • Experience helping develop, set up, and maintain large storage clusters, including monitoring, logging, and alerting

Preferred

  • 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/cabling
  • Familiarity with storage traffic patterns such as NVMe-oF and their network impact

Original job description

Content provided by the employer

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 the pay of employees in similar positions. The base salary range is 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 January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.