Senior Technical Marketing Engineer - Datacenter Networking at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Networking, Datacenter, AIIndustries

Requirements

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, 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
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

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

Skills

Ethernet

InfiniBand

DPU

SmartNIC

Datacenter Networking

Benchmarks

Performance Evaluation

Competitive Analysis

Technical Demos

Go-to-Market

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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