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/
Skills Required
- 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
- Record of building trusted relationships with senior technical and business decision-makers
- Outstanding strategic, communication, presentation, and negotiation skills
- 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
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
