Linear Algebra Primitives, Product Manager
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..
The ideal candidate has strong technical and problem-solving abilities, is a self-starter and has a strong mathematical background. As the Linear Algebra Primitives Product Manager you will support our efforts in building out libraries such as cuSPARSE , cuBLAS , and cuTENSOR . Additionally, you would help research and identify opportunities for new libraries that could bring the power of accelerated computing to new scientific domains. If you have the rare blend of both technical and product skills, and a passion for groundbreaking technology we would love to learn more about you.
What You'll Be Doing:
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.
What We Need To See:
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.
#LI-Hybrid
The base salary range is 168,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
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Are you ready to take your career to the next level? NVIDIA is on the lookout for a talented Linear Algebra Primitives Product Manager to join our HPC Software team in beautiful Santa Clara County, CA. In this role, you’ll collaborate with a dynamic team of software developers, hardware engineers, and research scientists to craft libraries that power groundbreaking applications across a multitude of fields such as deep learning, weather forecasting, and computational biology. Your expertise in linear algebra will be crucial as you support the development of our libraries like cuSPARSE, cuBLAS, and cuTENSOR. If you're a self-starter with a strong technical background and a knack for identifying new opportunities, this role is your chance to shine. You will gather insights to help define market strategies, collaborate closely with engineers to prioritize development tasks, and ensure we’re delivering top-notch software solutions. Plus, your involvement will extend to launching and marketing our products, engaging directly with customers to refine and improve them. At NVIDIA, we foster a culture of diversity and innovation, and we want your unique perspective to help us create the next wave of high-performance computing solutions. If you’re excited to blend your technical acumen with product management and contribute to our mission of solving the world's most complex problems, we’d love to hear from you!
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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