AI Physics Product Manager — GPU/Frameworks

NVIDIA

Massachusetts

On-site

USD 208,000 - 327,750

Full time

14 days+

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Benefits offered by this job

Equity
Benefits package

Job summary

NVIDIA is seeking a technical and passionate product manager to lead AI physics models, libraries, and frameworks. You’ll guide product definition, collaborate with engineering and business teams, and craft compelling messaging for partners and customers.

This role emphasizes leadership across GTM strategy, content creation, and cross‑functional alignment to accelerate adoption of AI physics workloads in CAE and EDA. Prior experience with AI libraries and GPU acceleration is valued.

Qualifications

  • Graduate degree or equivalent experience in AI, physics, or engineering.
  • 8+ years in product management or technical roles with AI, libraries, SDKs, frameworks or toolkits.
  • Familiarity with AI frameworks and architecture for physical simulation.
  • Strong foundation in GPU computing, CUDA, or parallel programming models.
  • Excellent communication and presentation skills across engineering, marketing, and business teams.
  • Ability to translate technical capabilities into developer and customer value.
  • Ability to prioritize multiple projects and work independently with minimal direction.

Responsibilities

  • Lead: define and position AI physics products and build GTM plans.
  • Build: drive product definition and execution with engineering and business teams.
  • Present: convey concepts to external and internal audiences with clear messaging.
  • Collaborate: align with product managers from other departments and field teams.

Skills

AI frameworks
GPU computing
CUDA
communication skills
prioritization

Education

Graduate degree or equivalent in AI/physics/engineering

Tools

CUDA

Job description

NVIDIA is seeking a technical and passionate product manager to lead AI physics models, libraries, and frameworks. You’ll guide product definition, collaborate with engineering and business teams, and craft compelling messaging for partners and customers.

This role emphasizes leadership across GTM strategy, content creation, and cross‑functional alignment to accelerate adoption of AI physics workloads in CAE and EDA. Prior experience with AI libraries and GPU acceleration is valued.

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