Senior Product Manager, CUDA-X Scientific Computing Libraries

🕒 February 17

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

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.

📋 Description

• Take a leadership role in defining strategic go-to-market plans that include product launches, campaigns, and events for these 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 from other departments, product marketing teams, campaign marketing, developer relations, business development, sales, and PR teams to ensure alignment and execution of GTM and strategic business plans • Bring back industry news, direct developer/customer conversations, and share critical insights with internal teams

🎯 Requirements

• Undergraduate degree or equivalent experience in psychics, mathematics, mechanical engineering, electrical engineering, 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 quantum chemistry, atomistic simulation and AI • 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

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