Senior Product Manager, cuBLAS and cuSOLVER

Details

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!

Responsibilities

• Lead strategic go-to-market plans including product launches, campaigns, and events for the CUDA-X libraries across key industries. Develop effective messaging, positioning, and market research.
• Create sales and partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and other content to bring ideas to life.
• Present to internal and external audiences, translating technology capabilities into messages that resonate with developers and customers.
• Collaborate with product managers, product marketing, campaign marketing, developer relations, business development, sales, and PR to ensure alignment and execution of marketing plans.
• Gather industry news and direct developer/customer feedback and share critical insights with internal teams.

Requirements

• Undergraduate degree or equivalent experience in computer science, mathematics, computer engineering, or a 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

• Direct experience with CUDA-X math libraries (cuBLAS, cuSOLVER).
• Prior experience with basic linear algebra, direct linear solvers and eigen solvers.
• Strong knowledge and understanding of the HPC and AI markets and their 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.

Compensation & Benefits

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 (see NVIDIA benefits).

Applications for this job will be accepted at least until September 23, 2025.

Diversity & Inclusion

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate in 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.