Senior Technical Marketing Engineer - Datacenter Networking
About the role
NVIDIA is seeking a Senior Technical Marketing Engineer for Datacenter Networking to join a dedicated team passionate about delivering outstanding developer and user experiences on NVIDIA's networking hardware and software products. This position is located in Santa Clara, CA.
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
- 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.
- 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.
Qualifications
- Hands-on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers.
- Experience with NVIDIA BlueField DPU and DOCA.
- Familiarity with high-speed fabrics (Ethernet or InfiniBand) and basic optics/cabling.
- Familiarity with storage traffic patterns (e.g., NVMe-oF) and how they impact networks.
Skills
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.
- Experience with AI/ML frameworks.
- Experience with cloud platforms.
- Experience with network infrastructure setup and maintenance.
- Experience with storage cluster management.
Benefits
This position offers a competitive compensation package, including a base salary range of $128,000 - $201,250 for Level 3 and $148,000 - $235,750 for Level 4, along with equity and benefits.
Pay
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
Schedule
The schedule for this position is full-time.
Benefits
Eligibility for benefits is contingent upon employment.
Application Instructions
Applications for this job will be accepted at least until January 13, 2026.