Senior Technical Marketing Engineer - Datacenter Networking

Description

The company has spent more than 25 years building technology for computer graphics, PC gaming, and accelerated computing, and now applies AI to its GPUs, which are used in computers, robots, and self-driving cars.

The Datacenter Networking team improves the developer and user experience of the company's networking hardware and software. The team works with engineering, product, marketing, and executive groups to push datacenter networking forward.

This is a senior technical marketing role based in Santa Clara, CA.

Responsibilities

• Assess usability, performance, and developer experience across the company's Ethernet, InfiniBand, DPU, SmartNIC, and software products, then flag gaps and shape product roadmaps.
• Design and run clear, repeatable benchmarks, and produce competitive analyses.
• Build demos that show innovative end-to-end use cases.
• Act as the first customer, testing the products and offering feedback and fixes when needed.
• Work with cross-functional partners on go-to-market planning and delivery.
• Partner with product management and engineering to measure how the full portfolio affects key application benchmarks and to track those results.
• Work with internal PR and external outlets to publish and promote technical marketing content.

Requirements

• A BS or MS in Computer Science or Engineering, or equivalent experience in technical marketing.
• At least 5 years of overall experience, including at least 3 years in technical marketing or customer co-innovation for data center networking products.
• Hands-on work with both north-south and east-west traffic in real environments.
• A working grasp of scale-out designs such as leaf-spine, and of the trade-offs between capacity and availability.
• Familiarity with network collectives for AI workloads.
• Experience with public and hybrid clouds in an enterprise setting, including deploying and automating network infrastructure with Ansible or Terraform.
• Help build, set up, and maintain large storage clusters, including monitoring, logging, and alerting, and track how AI/ML workloads behave in large clusters.
• Strong written and verbal communication, including producing original written content and presentations.
• Ability to lead and influence a highly skilled team of hardware and software engineers.
• Preferred: proficiency in C/C++, Golang, and Python AI/ML frameworks.
• Ways to stand out: hands-on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers.
• Ways to stand out: experience with the company BlueField DPU and DOCA.
• Ways to stand out: exposure to high-speed fabrics (Ethernet or InfiniBand) and basic optics and cabling.
• Ways to stand out: familiarity with storage traffic patterns such as NVMe-oF and how they affect networks.

Conditions

Base salary depends on location, experience, and other objective job-related factors. Expected ranges: 128,000 USD to 201,250 USD for Level 3, and 148,000 USD to 235,750 USD for Level 4.

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

This posting is for an existing vacancy.

The company uses AI tools in its recruiting process.

The company is committed to an inclusive workplace and is an equal opportunity employer that does not discriminate on protected characteristics.