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AI Physics Sales Lead - EMEA

Nvidia

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This role on the market

25 open physics roles across 14 companies are on ApplySarthi right now.

What physics roles keep asking for: Python (44%), Machine learning (24%), C++ (20%), MATLAB (12%) — counted across their open postings here.

Customer success jobs · Machine learning jobs

Nvidia has 3,839 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for physics roles keep coming back to Python, Machine learning, C++, MATLAB. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. How do you handle 'your price is too high'?
  4. How do you find and qualify new leads?
  5. What is your target, and how did you do against it last quarter?

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AI is transforming engineering by accelerating simulation, improving design, and enabling real-time digital twins. We at NVIDIA power this shift through accelerated computing, PhysicsNeMo, AI models, and a broad ecosystem of engineering software and technology partners. In this leadership role, you will shape NVIDIA’s AI Physics strategy, build the market, and accelerate adoption across EMEA. Join us to redefine how the world’s most complex products and systems are designed! What you’ll be doing: Own the Strategy: Turn NVIDIA’s global AI Physics vision into focused regional plans, priorities, and measurable outcomes. Drive Market Growth: Accelerate adoption across automotive, aerospace, energy, manufacturing, semiconductors, climate, and other engineering-intensive industries. Build Executive Relationships: Engage senior engineering, R&D, technology, and business leaders, positioning NVIDIA as a strategic AI Physics partner. Develop the Ecosystem: Collaborate with engineering software companies, cloud providers, system integrators, research organizations, and consulting partners. Create New Opportunities: Identify high-value use cases, build strategic opportunities, and grow a strong regional pipeline. Accelerate Customer Success: Help organizations move from experimentation to production and demonstrate measurable engineering and business value. Shape NVIDIA’s Direction: Bring market insights and customer feedback to product, engineering, marketing, and business teams. What we need to see: 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, HPC, 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. Outstanding strategic, communication, presentation, and negotiation skills. Ways to stand out from the crowd: 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 HPC ecosystems. Success taking emerging AI or simulation technologies from early adoption to scaled production. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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Listed on workday · posted 2026-10-31. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.