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NVIDIA

Designs the chips and software that power AI

AI Physics Sales Lead

Business Development & PartnershipsConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A master's degree in engineering, computer science, physics, applied mathematics, business, or a related field, or equivalent experience.
  • 12+ years of experience in AI, engineering simulation, scientific computing, accelerated computing, enterprise technology, or business development.
  • Proven success building new markets, developing strategic opportunities, and delivering sustained business growth.
  • Strong understanding of AI Physics, scientific machine learning, engineering simulation, digital twins, high-performance computing, or computer-aided engineering.
  • Experience engaging engineering software providers, industrial customers, cloud providers, research institutions, and technology partners.
  • A record of building trusted relationships with senior technical and business decision-makers.
  • Strong strategic, communication, presentation, and negotiation skills.

Responsibilities

  • Turn NVIDIA’s global AI Physics vision into focused regional plans, priorities, and measurable outcomes.
  • Accelerate adoption across automotive, aerospace, energy, manufacturing, semiconductors, climate, and other engineering-intensive industries.
  • Engage senior engineering, research and development, technology, and business leaders, positioning NVIDIA as a strategic AI Physics partner.
  • Collaborate with engineering software companies, cloud providers, system integrators, research organizations, and consulting partners.
  • Identify high-value use cases, build strategic opportunities, and grow a strong regional pipeline.
  • Help organizations move from experimentation to production and demonstrate measurable engineering and business value.
  • Bring market insights and customer feedback to product, engineering, marketing, and business teams.

Desired Qualifications

  • Experience with NVIDIA PhysicsNeMo, CUDA-X, Omniverse, AI surrogate models, or physics-informed machine learning.
  • Knowledge of computational fluid dynamics, structural mechanics, electromagnetics, weather and climate modeling, or other simulation domains.
  • Strong relationships across the EMEA engineering software, industrial, research, and high-performance computing ecosystems.
  • Success taking emerging AI or simulation technologies from early adoption to scaled production.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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