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NVIDIA
California, United States (On-site)

Manager, Technical Marketing Engineering - AI Platform Software

5 Months ago • 10 Years + • $184,000 PA - $356,500 PA

Job Description

NVIDIA seeks a Technical Marketing Engineering Manager for its AI Platform Software. This role involves crafting technical content (blog posts, user guides, walkthroughs, benchmarks) to educate developers on using NVIDIA's AI platforms. Responsibilities include mentoring a software engineering team, collaborating with internal/external engineers and researchers, championing AI within the developer community (GitHub, forums), improving product documentation, providing code guidelines, and generating benchmark data. The ideal candidate possesses strong AI software expertise (PyTorch, Python, CUDA), excellent communication skills, and proven management experience.
Good To Have:
  • Experience with JAX, vLLM, or other frameworks
  • Advanced knowledge of LLMs and cloud APIs
  • Existing public technical content
Must Have:
  • 10+ years software development experience
  • 3+ years management experience
  • Strong PyTorch, Python, CUDA knowledge
  • Technical content creation skills
  • Strong presentation skills
Perks:
  • Equity
  • Benefits

Add these skills to join the top 1% applicants for this job

github
deep-learning
python
pytorch
cuda

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

The base salary range is 184,000 USD - 356,500 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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