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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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JOB TITLE: Senior Product Manager, cuEST and cuEquivariance
The Senior Product Manager, cuEST and cuEquivariance joins the team building GPU acceleration libraries to lead the newest quantum chemistry math libraries. This role involves defining strategic go-to-market plans, including product launches, campaigns, and events across key industries. You will build sales and partner enablement assets such as whitepapers, blogs, and demos while translating complex technology capabilities into messages for internal and external audiences. Key responsibilities include collaborating with developer relations, sales, and PR teams to ensure strategic alignment. Candidates need a technical foundation in GPU computing, CUDA, or parallel programming models, alongside experience with libraries, SDKs, or toolkits. The role specifically addresses technical problems in quantum chemistry, atomistic simulation, and AI workloads for applications like drug discovery, CAE, and EDA.
What does a Product Manager earn in California?
Median $221750 from 318 postings across 58 companies.
Define strategic go-to-market plans including product launches, campaigns, and events for CUDA-X libraries.
Create sales and partner enablement assets such as whitepapers, blogs, webinars, and demos.
Translate complex technical capabilities into clear messages that resonate with developers and customers.
Deliver presentations to internal and external audiences using creative communication approaches.
Coordinate with cross-functional teams to ensure alignment on strategic business plans and execution.
Gather and share critical industry news and direct customer insights with internal teams.
Manage the product lifecycle for quantum chemistry math libraries and GPU acceleration tools.
What we're looking for
Undergraduate degree or equivalent experience in physics, mathematics, mechanical engineering, electrical engineering, computer engineering, or a 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.
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.
Familiarity with quantum chemistry, atomistic simulation, and AI (preferred).
Prior experience managing quantum chemistry or atomistic AI simulation products (preferred).
AI
GPU Computing
CUDA
Parallel Programming
AI Frameworks
High Performance Computing
SDKs
Libraries
CAE
EDA
Computer-Aided Engineering
Go-to-Market Strategy