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 are seeking a passionate product manager to lead the GPU acceleration math libraries cuBLAS and cuSOLVER — core CUDA-X libraries that form the foundation of numerical computing for AI, HPC, and scientific workloads. This is a highly visible role central to NVIDIA’s leadership in accelerated computing.

Responsibilities

• Lead strategic go-to-market plans, including product launches, campaigns, and events for CUDA-X libraries across key industries. Develop effective messaging, positioning, and perform market research.
• Build sales and partner enablement assets (presentation decks, blogs, whitepapers, webinars, demos, etc.) to bring ideas to life.
• Present to internal and external audiences; translate technical capabilities into messages that resonate with developers and customers.
• Collaborate with product managers, product marketing, campaign marketing, developer relations, BD, sales, and PR teams to align and execute 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 product management or in a 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; 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 building developer ecosystems or working with ISVs in HPC/AI.
• Experience driving go-to-market strategy and customer engagements for technical products.

Compensation & Benefits

• Base salary range: 168,000 USD - 258,750 USD (final base salary determined by location, experience, and peer pay).
• Eligible for equity and benefits (see NVIDIA benefits page).

Application Deadline

• Applications accepted at least until September 23, 2025.

Equal Opportunity

• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. NVIDIA does not discriminate 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.

Location & Time Type

• Location: US, CA, and Remote (see job posting). Full time position.