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NVIDIA

Designs the chips and software that power AI

Product Marketing Manager - AI Platform Software

Product MarketingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Master of Science or PhD in Computer Science or Engineering, or equivalent experience.
  • At least 10 years of meaningful work experience in a technical marketing role related to deep learning software.
  • Familiarity with popular large language models such as DeepSeek, GPT-OSS, Gemma, and Phi, and understanding optimization techniques for accelerating training and inference workloads.
  • Experience with compilers such as OAI Triton, XLA, and MLIR, and frameworks such as PyTorch, JAX, vLLM, and sglang.
  • Proficiency in modern programming languages such as Python.
  • Outstanding written, verbal, and interpersonal communication skills, with the ability to articulate value propositions to technical and non-technical audiences.
  • Ability to prioritize projects, commit to completion, and work independently.
  • Willingness to work on new products and technologies with an entrepreneurial spirit.
  • Provide samples of public-facing technical content you have created.

Responsibilities

  • Build product positioning by collaborating with business leaders to understand and communicate product value to developers, gathering evidence, developing product claims, and establishing positioning that highlights strengths and addresses competitors’ weaknesses.
  • Develop and complete marketing plans, ensure consistent messaging across materials, and collaborate with product management, technical marketing, engineering, campaign managers, and public relations to implement the plans.
  • Segment and target audiences, identify marketing asset gaps, and collaborate with technical teams to create developer-focused content, including technical blogs, webinars, and tutorials.
  • Represent NVIDIA at trade shows, conferences, and customer meetings, and promote the use of software development kits to grow the developer community.

Desired Qualifications

  • Experience marketing accelerated computing software products for AI frameworks.
  • Familiarity with NVIDIA GPUs and the CUDA parallel programming model.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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