AI Physical Sales Lead - EMEA

NVIDIA
Munich, Germany
Workplace: OnsiteFull timeFunction: SalesEducation: mastersSkills: ["Strategic thinking","Communication","Presentation","Negotiation","Relationship building"]

Lead NVIDIA’s AI Physics go-to-market across EMEA by translating the global AI Physics vision into regional priorities and measurable outcomes. Drive adoption in engineering-intensive industries, build executive relationships with senior technical and business leaders, and develop a partner ecosystem spanning software providers, cloud partners, integrators, research organizations, and consultants. Identify high-value use cases, build a strong pipeline, and accelerate customer success from experimentation to production.

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FursaFursa
NVIDIA
NVIDIA
21 hours ago

AI Physical Sales Lead - EMEA

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Job Summary

Lead NVIDIA’s AI Physics go-to-market across EMEA by translating the global AI Physics vision into regional priorities and measurable outcomes. Drive adoption in engineering-intensive industries, build executive relationships with senior technical and business leaders, and develop a partner ecosystem spanning software providers, cloud partners, integrators, research organizations, and consultants. Identify high-value use cases, build a strong pipeline, and accelerate customer success from experimentation to production.
Location: Munich, Germany
Workplace: Onsite
Employment Type: Full time
Job Function: Sales

Key Responsibilities

  • •Turn NVIDIA’s global AI Physics vision into focused regional plans, priorities, and measurable outcomes.
  • •Accelerate adoption of AI Physics across automotive, aerospace, energy, manufacturing, semiconductors, climate, and other engineering-intensive industries.
  • •Engage senior engineering, R&D, technology, and business leaders to position 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 a regional pipeline, and help customers move from experimentation to production.

Key Requirements

  • •Master’s degree in engineering, computer science, physics, applied mathematics, business, or 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, HPC, or computer-aided engineering.
  • •Experience engaging engineering software providers, industrial customers, cloud providers, research institutions, and technology partners.
Experience:AIEngineering simulationScientific computingAccelerated computingEnterprise technologyHPCDigital twins
Education:Master's
Skills:Strategic thinkingCommunicationPresentationNegotiationRelationship building
Tech Stack:PhysicsNeMoCUDA-XOmniverseAI surrogate modelsPhysics-informed machine learningComputational fluid dynamicsStructural mechanicsElectromagneticsWeather modelingClimate modelingHPC

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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