Senior Product Manager, cuBLAS and cuSOLVER

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