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NVIDIA

Designs the chips and software that power AI

Product Manager - Data Center GPU

Technical Product ManagementUpdated on Oct 31
Full-timeIn-person

About the Job

Requirements

  • At least 8 years of product management experience, preferably in a high-growth technology company.
  • A BS or MS in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent experience.
  • A strong interest in hardware and system architectures.
  • Experience in product management, ideally with meaningful time on compute products, artificial intelligence or machine learning, developer tools, or infrastructure products.
  • Knowledge of CPU and GPU benchmarks and performance analysis.
  • Some development experience with NVIDIA GPUs and software development kits.
  • Knowledge of computer architecture and GPU architecture.
  • Communication skills and the ability to work cross-functionally with engineering, operations, and customer teams.
  • Passion for and working knowledge of building innovative products and technologies.

Responsibilities

  • Develop and produce deliverables that showcase the value proposition of NVIDIA Server and Workstation GPU solutions across a wide variety of use cases.
  • Work closely with lead clients and collaborators from new product launches through mass production phases.
  • Create performance guides, white papers, blogs, tools, and other reusable collateral.
  • Work with technical, build, and development groups to define and develop assets showcasing technologies and solutions to a broad range of customers and vertical segments.
  • Conduct competitive analysis and work with industry-standard benchmarks.

Desired Qualifications

  • Advanced knowledge of GPU architecture and computer architecture.
  • Hands-on experience with local artificial intelligence workloads and agents.
  • High energy and a positive attitude.

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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