Senior Product Manager, cuBLAS and cuSOLVER

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September 19

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• 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 • 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

🎯 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

🏖️ Benefits

• equity • benefits