NVIDIA is 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.
Requirements
- 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
- Proven ability to translate technical capabilities into developer and customer value
- 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
Responsibilities
- 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
Other
- Undergraduate degree or equivalent experience in computer science, mathematics, computer engineering, or relevant technical field
- Excellent communication and presentation skills, with the ability to work across engineering, marketing, and business teams
- Ability to prioritize multiple projects and work independently with minimal direction
- 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
