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NVIDIA

Designs the chips and software that power AI

Senior Product Manager - HPC and AI for Physics

Technical Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A degree in Physics, Applied Mathematics, or Computer Science, or equivalent experience.
  • Experience and familiarity with applied physics and material science simulation tools, AI, and scientific computing applications.
  • At least 7 years in a technical product leadership role delivering software and libraries.
  • A proven record of collaborating in a matrix organization.
  • Strong communication skills to articulate the value proposition to technical and non-technical audiences.

Responsibilities

  • Define product features, capabilities, value proposition, positioning, and roadmap based on market analysis and customer feedback.
  • Work closely with engineering to set requirements and priorities and drive integration with complementary NVIDIA software products.
  • Define go-to-market strategy and build assets for product launches, blogs, webinars, public relations, and sales enablement.
  • Stay up-to-date with the latest trends and offerings to identify early-access customers and partnership opportunities.
  • Participate in and present at workshops and conferences.

Desired Qualifications

  • A Ph.D. is preferred.
  • Background in developing high-energy and plasma physics simulation software packages, fusion materials and blanket design, or numerical and data processing and analysis for physics, material science, or plasma science.
  • Good understanding of modern processor technologies, with GPUs preferred, as applied to scientific computing.
  • Hands-on approach to problem solving and building customer-friendly products.

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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