Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Senior Technical Marketing Engineer for Datacenter Networking, you will collaborate with engineering, product, marketing, and executive teams to enhance developer and user experiences on NVIDIA's networking products.
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:
Required:
• 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.
• 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, including monitoring, logging, and alerting.
• 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.
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.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.