Senior Product Manager, cuBLAS and cuSOLVER

Product Manager For GPU Acceleration Libraries

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 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 its 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 September 23, 2025. 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.