Senior Product Manager, cuBLAS and cuSOLVER job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: cuBLAS and cuSOLVER Senior Product Manager, cuBLAS and cuSOLVER position at NVIDIA


DateMore Than 30 Days Ago bot
NVIDIA Senior Product Manager, cuBLAS and cuSOLVER
Experience: 8-years
Pattern: Remote
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cuBLAS and cuSOLVER

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loacation US, CA, Remote, United States Of America
loacation US, CA, Remote....United States Of America

At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for a passionate product manager to join the NVIDIA team building our GPU acceleration libraries for AI and HPC. This role is responsible for leading the our cuBLAS and cuSOLVER math libraries, two core CUDA-X math libraries that are the foundation of numerical computing for diverse workloads. This role is highly visible and central to NVIDIA’s continued leadership in accelerated computing. NVIDIA's CUDA-X libraries are essential, visible and growing both inside and outside of NVIDIA. We need a self-starting product manager to continue growing these math libraries. Do you have the rare blend of both technical, positioning and communication skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you! What You’ll Be Doing : Leading: Take a leadership role in defining strategic go-to-market plans that include product launches, campaigns, and events for the CUDA-X libraries across key industries. This includes effective messaging, positioning, and market research. Building: Bring ideas to life through content creation of sales/partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more. Presenting: Engage with various audiences (internal and external), delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate Collaborating: Team up with product managers, product marketing teams, campaign marketing, developer relations, BD, sales, and PR teams to ensure alignment and execution of marketing plans. Learning: Bring back industry news, direct developer/customer conversations, and share critical insights with internal teams What We Need To See: Undergraduate degree or equivalent experience in computer science, mathematics, computer engineering, or relevant technical field 8+ years of combined experience in a product management or technical role at a technology company working with libraries, SDKs, and/or toolkits Familiarity with linear algebra, numerical methods, and their application in AI, HPC, or scientific computing Strong technical foundation in GPU computing, CUDA, or parallel programming models Excellent communication and presentation skills, with the ability to work across engineering, marketing, and business teams Proven ability to translate technical capabilities into developer and customer value Ability to prioritize multiple projects and work independently with minimal direction Ways To Stand Out From The Crowd: Direct experience with CUDA-X math libraries Prior experience with basic linear algebra, direct linear solvers and eigen solvers Strong knowledge and understanding of the HPC and AI markets and it's key players Prior success in building developer ecosystems or working with ISVs in HPC/AI Experience driving go-to-market strategy and customer engagements for technical products Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. 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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