Senior Product Manager, cuBLAS and cuSOLVER jobs in United States
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NVIDIA · 1 day ago

Senior Product Manager, cuBLAS and cuSOLVER

NVIDIA is solving the world’s most challenging problems with their unique approach to accelerated computing. They are seeking a passionate product manager to lead their cuBLAS and cuSOLVER math libraries, which are core components of their CUDA-X libraries essential for numerical computing.

Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote
Hiring Manager
Dayna W.
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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

Qualification

GPU computingCUDAProduct managementLinear algebraNumerical methodsHPC experienceProject prioritizationCommunicationPresentation skillsCollaboration

Required

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

Preferred

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

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase