Key skills
AI physics modelsAI librariesAI frameworksAI toolkitsAI frameworks for physical simulationGPU computingCUDAparallel programming modelsproduct managementtechnical product managementcomputer-aided engineeringhigh performance computingAI-enhanced simulation productsgo-to-market strategyGoAILeadershipProduct ManagementCommunicationCollaborationPresentation SkillsSales
About this role
NVIDIA is solving the world’s most challenging problems with its unique approach to accelerated computing. They are looking for a technical and passionate product manager to lead the development of AI physics models, libraries, and frameworks, impacting NVIDIA’s leadership in accelerated computing.
Responsibilities:
- Leading: Take a leadership role in defining and positioning AI physics products, and building strategic go-to-market plans for AI physics across key industries
- Building: Bring ideas to life through product definition execution in collaboration with engineering, developer relations, and business development
- Presenting: 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
- Collaborating: 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
- Experience with computer-aided engineering or high performance computing
- Prior experience managing AI-enhanced simulation products
- Experience driving go-to-market strategy and customer engagements for technical products