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NVIDIA

Technical Marketing Software Engineer Intern - Summer 2025

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA
18-71
Internship
Santa Clara, CA
18-71
Internship
Assist in technical marketing tasks, create content showcasing NVIDIA products, validate technologies, and engage with various teams to enhance product understanding and messaging.
The summary above was generated by AI

AI, deep learning, and machine learning are no longer future tech; they're today’s tools for solving tomorrow's challenges. NVIDIA is at the helm of this transformation. We're searching for a proactive Technical Marketing Engineer Intern to join our team.

As a Technical Marketing Engineer Int, you will work with the other members of the technical marketing team, our Networking and AI and product teams, our partners, and our business leaders to define and create a wide range of deliverables and assets to showcase how NVIDIA Enterprise products and AI/Deep Learning technologies improve and accelerate the way people ideate, create, and design their own AI solutions. As a Technical Marketing Engineer, you will help translate the “how” to the “why” of engineering features and solutions.

What you’ll be doing:

  • Assist in various technical marketing engineer tasks and projects, including creating code and workflow examples of how to use our products, hands-on exploration of new technologies and product features, and working with product and marketing teams to provide recommendations and feedback on product functionality and product messaging
  • Demonstrate the value and benefits of NVIDIA AI technologies and NVIDIA Networking solutions and accelerate the adoption of NVIDIA Enterprise products
  • Team up with product management, product marketing, engineering, ISV partners, business leaders, and field teams to create targeted assets addressing specific use cases
  • Craft and create content like guides, videos, and whitepapers to showcase AI workflows maximizing the entire product portfolio across both software and hardware
  • Use your AI and systems knowledge to clarify and demonstrate complex concepts or technologies in a manner that is easily understandable and digestible to the public

What we need to see:

  • Pursuing a Bachelor's or Master's in Computer Science, Data Science, Information Science, Electrical Engineering, or a similar field
  • Prior experience in hardware and software development, with a focus on AI
  • Demonstrable training in and experience with AI, Deep Learning, or Machine Learning frameworks
  • Familiar with cloud-native concepts such as Containerization
  • Hands-on Git and command-line experience
  • Strong analytical skills
  • Dives deep into technical details and can debate/explain them effectively
  • A strong mix of technical and business skills—demonstrably comfortable in engaging across marketing, engineering, and product management teams
  • Experience in presentations to various audiences

Ways to stand out from the crowd:

  • Experience with Slurm or Kubernetes
  • Familiarity with Cloud Service Providers like AWS, Azure, GCP
  • Familiarity with Generative AI technologies
  • Published work or developed online technical content focusing on AI, Deep Learning, Machine Learning, or Cloud Native technologies
  • Multilingual skills
  • Social media savvy for work

NVIDIA is renowned as one of the most coveted employers in the tech world. We’re home to some of the industry's brightest and most innovative minds. If you’re excited about witnessing how a global technology leader stays at the groundbreaking, we'd love to hear from you!

The hourly rate for our interns is 18 USD - 71 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

You will also be eligible for Intern 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.

Top Skills

AI
AWS
Azure
Cloud Services
Command-Line
Deep Learning
GCP
Git
Kubernetes
Machine Learning
Slurm

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