Linear Algebra Primitives, Product Manager

at Nvidia

📍 Santa Clara, United States

$160,000-253,000 per year

SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 4 Software Development @ 4 Python @ 4 Leadership @ 4 Communication @ 4 API @ 4

Details

We are looking for a technical and user-focused Product Manager to join our HPC Software Product Manager team focused on linear algebra primitives. NVIDIA libraries form the bedrock of the accelerated computing platform, enabling scientists, researchers, and developers to solve problems that are otherwise impossible. The Linear Algebra Primitives Product Manager would work with software developers, hardware developers, and research scientists to enable an array of applications including deep learning (AI), weather forecasting, high-energy physics, computational fluid dynamics, materials science, computational biology, and many other critical related fields.

Responsibilities

  • Define and Prove – You will gather insights and build market analysis that provides the data to enter or change new markets through a clear value proposition for your product.
  • Market intelligence – Understand your developers and champion their needs through roadmaps and priority setting.
  • Build and Deliver - Work closely with engineering to set requirements and priorities while improving the software development process for flawless integration with NVIDIA key software products.
  • Sense and Respond - Work closely with customers, build surveys, present at conferences, understand product quality, and monitor critical bugs.
  • Product launches – Define the go-to-market strategy and contribute to the cross-functional implementation of the plan across Marketing, PR, Sales, etc.
  • Asset creation – Work with marketing to define positioning that enables the creation of technical content, including blog posts, webinars, developer tutorials, and more to communicate the product value proposition.

Requirements

  • Degree in Computer Science, Applied Math, or related field (Ph.D. or Masters preferred) or equivalent experience.
  • Experience and familiarity with numerical linear algebra, AI, and scientific computing applications.
  • Good understanding of modern processor technologies (GPUs preferred) as they relate to high-performance computing (HPC).
  • Significant experience in a technical product leadership role at a technology company.
  • 5+ years experience delivering software and libraries.
  • Proven track record of collaborating cross-functionally.
  • World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.

Ways To Stand Out From The Crowd

  • Experience developing numerical libraries APIs in C/C++ and Python.
  • Background with sparse linear solvers.
  • Experience with CUDA and/or GPU computing.

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Our GPUs are being used in many of the largest HPC projects around the world, solving real-world problems. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life’s best work. If you’re creative, self-motivated, and autonomous, we want to hear from you.