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:
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
What We Need to See:
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
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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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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