Senior Technical Marketing Engineer - Datacenter Networking

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.

Requirements

• 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.

Preferred

• 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.

Benefits

• You will also be eligible for equity and benefits.