After gaining the world’s attention by enabling advancements in AI and high-performance computing, NVIDIA is at a transitional moment in its history to become a leading data center company. With the increased focus on accelerating IO throughout the data center, NVIDIA is bringing a plethora of fully tested, scalable, and packaged products to improve the customer’s experience. We are looking for a Technical Marketing Engineer with hands on software engineering skills to promote NVIDIA’s Networking and LLM portfolio. The role entails creating prototypes, automating deployment and thinking out of the box. As a Technical Engineer, you will translate the “how” to the “why” of engineering features and solutions.

This is a key technical marketing role working across various team across within NVIDIA including – Core Engineering, Product Management, Product Marketing. You will also work with the NVIDIA Enterprise Data Center business units. The successful candidate will help build compelling assets to drive NVIDIA Networking solutions into data center portfolio integration other NVIDIA solutions such as data analytics, machine learning, and AI use-cases across all major industry verticals.

What You’ll Be Doing:

• Engage with customers and field teams to thoroughly understand the benefits and use cases of the NVIDIA GPU and Networking portfolio, including Bluefied3 DPU, NVAIE products, etc.

• Craft compelling technical marketing content such as white papers, presentations, blogs, competitive positioning, and customer success stories to communicate the value of NVIDIA GPU + Networking portfolio

• Design, Code and build demos that showcase innovative end-to-end use cases

• Roleplay as “customer 0” and providing feedback and solutions whenever necessary

• Collaborate with cross-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

  What We Need To See:

• BS/MS Degree in Computer Science or Engineering or equivalent experience as a software engineer with 5+ years of overall experience and 1+ years of technical marketing or customer co-innovation experience working on data center networking products

• Experience in CUDA, RAG, LLMs, Kubernetes, Docker, OpenStack

• Expert with algorithms, data structures, complexity analysis, software design, and maintaining large-scale Linux-based systems

• Experience in using observability and tracing-related tools like InfluxDB, Prometheus, and elastic and one or more of the following: C/C++, Golang, Python AI /ML frameworks and methodologies

• Public cloud and hybrid cloud experience in the Enterprise context, as well as knowledge about deploying and automated network infrastructure in public/private clouds and experience in Ansible/Terraform, a big plus

• Assist in the design, implementation, and support of large-scale storage clusters, including monitoring, logging, and alerting as well as work with AI /ML workloads to capture and correlate behavior in large clusters and workflows, which are otherwise hard to understand

• Excellent written and verbal interpersonal skills, including the ability to author original content (both written and presentations)

• Strong leadership skills and a creative and collaborative attitude and must be a self-motivated individual who can work through a problem from start to finish and proven ability to think creatively and be innovative, you have an aptitude to thrive in a high-energy, dynamic environment

• Ability to think creatively and innovatively, you have an aptitude to thrive in a high-energy, dynamic environment

  Ways To Stand Out From The Crowd:

• Hands-on (software development) Technical marketing experience with large-scale networking solutions targeted at public/private cloud

• Knowledge about RAG (Retrieval Augmented Generation) Vector DB, NVIDIA's LLM services.

• Experience in K8S, creating and deploying micro services

• Conducted performance benchmark or bakeoff plus background with container-centric application deployments and lifecycle management

  With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard-working, dedicated, and determined ? Do you love a challenge? If so, we want to hear from you!

The base salary range is 124,000 USD - 195,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.