Technical Marketing Engineer

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
Expert/Leader
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Technical Marketing Engineer at NVIDIA, you will collaborate with product management and engineering teams to create content for DGX solutions, define user journeys, conduct competitive analysis, and present product benefits to diverse audiences. This role requires strong programming skills, experience in system deployment, and the ability to manage multiple projects effectively.
Summary Generated by Built In

NVIDIA has become the platform upon which every new AI-powered application is built. From big, challenging Generative AI applications to autonomous vehicles, or voice-recognition systems, the need for advanced perception and cognitive capabilities is exploding... and NVIDIA is right in the center of this revolution. We are currently seeking a dynamic individual to join our team as an DGX Technical Marketing Engineer who can move and adapt quickly to changing needs!

What You’ll Be Doing:

  • Work with product management in planning and execution of content creation and collateral development for DGX solutions.

  • Collaborate with DGX partner ecosystem to build an integrated solution blueprint.

  • Work with engineering and core infrastructure teams on technical architecture, API design, usage dashboards, security and enterprise readiness.

  • Partner with UX teams in defining the end-to-end user journey from feature discovery to commercial adoption.

  • Partner with Technical Marketing teams on demos and product marketing teams on product positioning and messaging.

  • Perform technical competitive analysis of other offerings in the market.

What We Need To See:

  • Bachelor's Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Machine Learning, etc.) or equivalent experience.

  • 8+ years of proven experience as a data scientist, data engineer, machine learning engineer, or similar role

  • Hands-on experience deploying systems, networking and storage.

  • World-class interpersonal skills with a shown ability to articulate a value proposition to technical and non-technical audiences.

  • Ability to manage concurrent projects and priorities in a multifaceted environment.

Ways To Stand Out From The Crowd:

  • Hands on experience in system administration.

  • Prior Technical Marketing position with enterprise products.

  • Experience collaborating with and contributing to open-source projects.

  • Strong programming skills and familiarity with CUDA and GPU fundamentals.

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. If you're creative and a self-starter, we want to hear from you!

The base salary range is 160,000 USD - 247,250 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. 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

Data Engineering
Data Science
Machine Learning
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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