Senior Accelerated Computing GPU Product Manager

at Nvidia
USD 168,000-327,800 per year
SENIOR
βœ… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Machine Learning @ 4 Product Management @ 7 Cloud Computing @ 7 GPU @ 4

Details

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, the company is focusing on the unlimited potential of AI to define the next era of computing, where GPUs act as the brains of computers, robots, and self-driving cars that understand the world.

The Accelerated Computing team drives Machine Learning, Artificial Intelligence, and High-Performance Computing growth. The team is small, dynamic, and motivated, defining next-generation products for these markets.

Responsibilities

  • Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models for training and inference.
  • Find opportunities to address customer needs uniquely and translate these into compelling GPU value propositions and product proposals.
  • Collaborate cross-functionally with partners, engineering, operations, and field teams to develop comprehensive go-to-market plans and product positioning.
  • Work with sales to develop effective sales collateral and tools.

Requirements

  • 6+ years of total experience in technology, with product management, AI-related engineering, design, or development experience highly valued.
  • BS or MS degree or equivalent experience in engineering, computer science, or another technical field. MBA is a plus.
  • Ability to contribute in relevant areas within 3 months.
  • Knowledge of GPU, software, and computing architectures and the ability to explain them.
  • Strong motivation to learn, tackle complex problems, and make sophisticated trade-offs.

Ways to Stand Out

  • Direct experience developing or deploying large-scale GPU-based AI applications, such as Large Language Models, for training and inference.
  • Strong background in building or leading cloud computing infrastructure and technologies.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. More details at www.nvidiabenefits.com/.