Senior Product Manager, AI Physics

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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 and positioning AI physics products, and building strategic go-to-market plans for AI physics across key industries. • Bring ideas to life through product definition execution in collaboration with engineering, developer relations, and business development. • Engage external and internal audiences, delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate. • Collaborate with marketing, sales, and PR teams on content creation for partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more. • Team up with product managers from other departments, product marketing teams, campaign marketing, developer relations, business development, and field teams, to ensure alignment and execution of GTM and strategic business plans.

🎯 Requirements

• Graduate degree or equivalent experience in AI, physics, 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 AI, libraries, SDKs, frameworks, and/or toolkits. • Familiarity with AI frameworks and AI architecture for physical simulation. • 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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