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NVIDIA

Designs the chips and software that power AI

Accelerated Computing GPU Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Seven or more years of total experience in technology.
  • A bachelor's or master's degree in engineering, computer science, or another technical field, or equivalent experience.
  • Ability to contribute fully in one or more of the listed work areas within three months.
  • Knowledge of GPU, software, and computing architectures and the ability to explain them.
  • Ability to work closely with cloud partners.

Responsibilities

  • Develop a deep understanding of data center workloads and applications, especially large language models for training and inference.
  • Identify opportunities to address customer needs and translate them into GPU value propositions and product proposals.
  • Work cross-functionally with partners, engineering, operations, and field teams to develop product go-to-market plans and product positioning.
  • Work with the sales organization to develop sales collateral and tools.

Desired Qualifications

  • Previous product management, AI-related engineering, design, or development experience is highly valued.
  • An MBA is a plus.
  • A strong background in developing or deploying large-scale GPU-based AI applications, such as large language models for training and inference.
  • Direct experience building or leading cloud computing infrastructure and technologies.
  • Exposure to bringing accelerated computing systems to market.

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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