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NVIDIA

Designs the chips and software that power AI

Director – AI Enablement

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Bachelor of Engineering degree or equivalent experience in Electrical Engineering, Computer Science, or a related technology field; a Master of Science degree is preferred.
  • At least 15 years of overall work experience, including at least 8 years of management experience.
  • Deep AI knowledge and industry insights into the latest AI technology innovations.
  • A proven record of AI-native development and familiarity with AI technologies including large language models, machine learning, agentic development, and common AI tools from frontier providers and the open-source software community.
  • A proven record of developing and executing highly complex products and managing teams.
  • Ability to work across organizational boundaries to enhance alignment and productivity between teams.

Responsibilities

  • Build industry and AI insights into AI enablement and agentic development.
  • Accelerate company productivity by developing state-of-the-art AI systems.
  • Produce tools, services, and blueprints for AI developers.
  • Work with organizational leaders, developers across the company, and external partners to adapt and develop AI technologies that address company growth needs.

Desired Qualifications

  • Proactively track AI technology trends, build insights, and innovate to address issues before they emerge.
  • Deep experience designing and launching large software projects at enterprise scale with AI.
  • A strong track record in team and stakeholder management across multiple organizations.

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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