AI Sales Lead – EMEA

This is a fully remote position, open to applicants in Germany.

📋 Description

• Transform NVIDIA’s global AI Physics vision into targeted regional initiatives, priorities, and quantifiable results.

• Speed up adoption across sectors such as automotive, aerospace, energy, manufacturing, semiconductors, climate, and other engineering-focused industries.

• Engage with senior leaders in engineering, R&D, technology, and business, establishing NVIDIA as a key strategic AI Physics collaborator.

• Partner with engineering software firms, cloud service providers, system integrators, research institutions, and consulting firms.

• Identify high-impact use cases, create strategic opportunities, and cultivate a robust regional pipeline.

• Assist organizations in transitioning from experimentation to production while showcasing measurable engineering and business benefits.

• Provide market insights and customer feedback to product development, engineering, marketing, and business teams.

⛳️ Requirements

• A Master’s degree in engineering, computer science, physics, applied mathematics, business, or a related discipline, or equivalent practical experience.

• Over 12 years of experience in AI, engineering simulation, scientific computing, accelerated computing, enterprise technology, or business development.

• Demonstrated success in establishing new markets, creating strategic opportunities, and achieving sustained business growth.

• Solid understanding of AI Physics, scientific machine learning, engineering simulation, digital twins, HPC, or computer-aided engineering.

• Experience in engaging with engineering software vendors, industrial clients, cloud providers, research institutions, and technology collaborators.

• A proven track record of fostering trusted relationships with senior technical and business decision-makers.

• Exceptional strategic, communication, presentation, and negotiation abilities.

• Familiarity 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 fields.

• Established connections within the EMEA engineering software, industrial, research, and HPC ecosystems.

• Proven experience in advancing emerging AI or simulation technologies from initial adoption to large-scale production.

🏝️ Benefits

• Highly competitive salaries.

• Comprehensive benefits package.