Technical Marketing Engineer

3 Months ago • 8 Years + • Marketing • $160,000 PA - $253,000 PA

Job Summary

Job Description

NVIDIA seeks a Technical Marketing Engineer to contribute to the development and marketing of DGX solutions. Responsibilities include collaborating with product management on content creation, working with partners to build integrated solutions, collaborating with engineering teams on technical aspects, partnering with UX teams on user experience, and performing competitive analysis. The role requires strong technical skills, excellent communication, and the ability to manage multiple projects. Experience in data science, machine learning, system deployment, and enterprise solutions is essential. The ideal candidate possesses strong programming skills and familiarity with CUDA and GPU fundamentals.
Must have:
  • Bachelor's Degree in quantitative field
  • 8+ years experience as data scientist/engineer
  • Hands-on experience deploying systems
  • World-class interpersonal skills
  • Manage concurrent projects
Good to have:
  • System administration experience
  • Prior Technical Marketing experience
  • Open-source project contribution
  • Strong programming skills and CUDA/GPU knowledge
Perks:
  • Equity
  • Benefits

Job Details

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 - 253,000 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.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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