Technical Marketing Engineer - AI Platform Software

4 Months ago • 5 Years + • Devops • $128,000 PA - $253,000 PA

Job Summary

Job Description

NVIDIA seeks a Technical Marketing Engineer to create technical content educating developers on using NVIDIA's AI platforms. This involves collaborating with engineers and researchers, building training materials and how-to guides, engaging with the developer community on platforms like Github, improving product documentation, gathering user feedback, providing code guidelines and samples, and benchmarking NVIDIA's software. The ideal candidate possesses a strong background in software development, deep learning, and technical marketing, with experience presenting to technical audiences and managing multiple projects. Advanced knowledge of LLMs and AI software architecture is highly valued.
Must have:
  • 5+ years software development/technical marketing experience
  • 3+ years deep learning/machine learning experience
  • Strong Python or C/C++ programming skills
  • Excellent technical presentation and content creation skills
  • Experience managing multiple projects
  • Collaborate with internal/external engineers
Good to have:
  • Advanced knowledge of LLMs, AI software architecture, cloud APIs
  • Public-facing technical content, forum contributions, or open source projects
  • Familiarity with PyTorch, JAX, vLLM, or other training & inference frameworks
Perks:
  • Equity
  • Benefits

Job Details

NVIDIA software powers today's breakthroughs in AI! To enable researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the AI platform software stack and the ecosystem! This role will craft the fundamental technical content educating developers how to write software's using NVIDIA's AI platforms through technical blog posts, user guides, walk-throughs, benchmark and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA AI platform SW. Do you appreciate the value of a well-done design guide? If so, we'd like your help empowering developers across deep learning training and inference.

What You'll be Doing:

  • Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content

  • Being the champion for AI among the NVIDIA developer community by interacting and answering questions about the product on Github and other forums

  • Improving product documentations to be clear and self-explanatory

  • Facilitating channel customer usability feedback from the external community and partnering with internal teams to improve NVIDIA AI Platforms to be the easiest to use

  • Providing code guidelines to DL developers by implementing samples and proof of concept applications

  • Benchmarking and generating data for better positioning of NVIDIA's SW product

What We Need to See:

  • Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience

  • 5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company

  • 3+ year of experience with deep learning or machine learning

  • Strong knowledge of Python or C/C++, programming techniques, and software development

  • Strength presenting to technical audiences and generating content for developers

  • Prior success in juggling multiple projects at a time

Ways to Stand Out from the Crowd:

  • Advanced knowledge of LLMs, modern AI software architecture and cloud APIs

  • Existing public facing technical content, forum contributions or open source projects

  • Familiarity with PyTorch, JAX, vLLM or other training & inference frameworks

#LI-Hybrid

The base salary range is 128,000 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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