Manager, Technical Marketing Engineering - AI Platform Software

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 4 Software Development @ 4 Python @ 7 GitHub @ 4 Mentoring @ 4 API @ 7 PyTorch @ 7 CUDA @ 7

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.

Responsibilities

  • You will be growing and mentoring a software engineering team that can help with product marketing activities.
  • Collaborate with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content.
  • Be the champion for AI among the NVIDIA developer community by interacting and answering questions about the product on Github and other forums.
  • Improve product documentations to be clear and self-explanatory.
  • Provide code guidelines to deep learning developers by implementing samples and proof of concept applications.
  • Benchmark and generate data for positioning NVIDIA's SW product.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience.
  • 10+ overall years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company.
  • 3+ year of management experience.
  • Strong knowledge of PyTorch, Python or CUDA programming techniques.
  • Strength presenting to technical audiences and generating content for developers.

Ways to Stand Out from the Crowd

  • Prior success juggling multiple AI software projects and leading a strong engineering team.
  • Familiarity with PyTorch, JAX, vLLM or other training & inference frameworks.
  • Advanced knowledge of LLMs, modern AI software architecture and cloud APIs.
  • Existing public facing technical content, forum contributions or open source projects.