Senior Product Manager, cuBLAS and cuSOLVER

NVIDIA is solving the world’s most challenging problems with accelerated computing and is looking for a passionate product manager to lead their GPU acceleration libraries for AI and HPC. The role involves overseeing the cuBLAS and cuSOLVER math libraries, defining strategic go-to-market plans, and collaborating with various teams to ensure successful execution of marketing strategies.

Responsibilities:

• 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
• Bring ideas to life through content creation of sales/partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more
• Engage with various audiences (internal and external), delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate
• 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
• Bring back industry news, direct developer/customer conversations, and share critical insights with internal teams

Requirements:

• 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
• 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