Technical Marketing Engineer - AI Platform Software
at Nvidia
📍 Santa Clara, United States
$124,000-247,200 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 4 Software Development @ 6 Python @ 7 GitHub @ 4 Machine Learning @ 6 Mentoring @ 4 API @ 7 PyTorch @ 3Details
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
- 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 documentation 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.
Requirements
- 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+ years 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.