Accelerated Computing GPU Product Manager

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

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Machine Learning @ 3 Product Management @ 6 Cloud Computing @ 3 GPU @ 3

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 β€” and amazing people. Today, NVIDIA is tapping into 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 can understand the world.

Role description

You will join NVIDIA's Accelerated Computing team, defining the next generation of GPU products for Data Center, Machine Learning, Artificial Intelligence and High-Performance Computing markets. The team is small, dynamic, and motivated, and seeks a candidate with a consistent track record in technology and GPU product definition for the data center.

Responsibilities

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

Requirements

  • 7+ years of total experience in technology; previous product management experience is highly valued. AI-related engineering, design, or development experience is also valued.
  • BS or MS (or equivalent experience) in engineering, computer science, or another technical field. MBA is a plus.
  • Demonstrated ability to fully contribute in one or more of the areas above within 3 months.
  • Knowledge of, and ability to explain, GPU, software, and computing architectures.
  • Strong desire to learn, motivation to tackle complex problems, and ability to make sophisticated trade-offs.
  • Ability to work closely with cloud partners.

Ways to stand out

  • Strong background in developing or deploying large-scale GPU-based AI applications (e.g., LLMs) for training and inference.
  • Direct experience building or leading cloud computing infrastructure and technologies.
  • Exposure to bringing accelerated computing systems to market.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary ranges provided are:

  • Level 4: 168,000 USD - 258,750 USD
  • Level 5: 208,000 USD - 327,750 USD

You will also be eligible for equity and benefits. See www.nvidiabenefits.com for details.

Additional information

  • Applications for this job will be accepted at least until September 23, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment. They do not discriminate 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.