Solution Architect, Modulus, Computer-Aided Engineering (CAE)

NVIDIA is enabling industry developers to achieve real-time interactive design using AI-accelerated real-time digital twins. These advanced simulation environments let engineers change design settings and immediately see how they affect key performance indicators. Creating real-time digital twins is typically a custom effort that demands expertise across multiple domains.

Interactive Computer-Aided Engineering (CAE) simulations can be achieved using NVIDIA Modulus, a physics-ML framework designed to accelerate simulation-based solutions by creating AI-driven, physics-informed models. Developed to support applications across industries, Modulus leverages deep learning to create surrogate models that accurately simulate complex physical systems, from fluid dynamics to structural mechanics, by learning underlying physics principles through data and equations.

Modulus is particularly valuable in fields requiring fast and reliable simulations, such as digital twins, energy, climate science, and healthcare. It provides a scalable, GPU-optimized architecture and integrates with platforms like NVIDIA Omniverse to develop high-fidelity, real-time digital twins. Its framework also enables predictive capabilities, improving the accuracy and speed of simulations over traditional methods, making it suitable for use cases such as climate modeling, energy-efficient design, and real-time environmental monitoring. We are looking for a Solution Architect to support customers in using Modulus and CAE across industries.

What youll be doing:

• Support all industries: Climate, Energy, Industrial, Manufacturing, Healthcare, other areas

• Work closely with business development and sales teams to drive adoption of Modulus

• Develop solutions aligned with customers requirements

• Keep learning the latest innovations in high performance computing and deep learning techniques

• Give trainings and hackathons on NVIDIA solutions and platforms

What we need to see:

• MS/PhD in Engineering, Computational Fluid Dynamics, Mathematics, or related technical field

• 5+ years of experience with Physics-Machine Learning

• Good programming skills using Python

• Experience in scientific/engineering simulations (e.g. fluid dynamics, atmospheric science, energy, etc)

• Experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow etc)

• Familiarity with containers, numerical libraries, modular software design

• Solid written and oral communications skills and familiarity with collaborative environments

• Team players, creative abilities, can learn and adapt quickly

Ways to stand out from the crowd:

• Experience using NVIDIA GPUs and platforms

• Hands-on experience using HPC systems

• Experience in Scientific Visualization

• Experience in digital twin technologies

NVIDIA is one of the technology industrys most desirable employer. If youre a creative person with a genuine passion for AI, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We encourage diversity in candidates profiles. If you think you have the relevant skills and experience for this job, we encourage you to apply even if you lack some of the requirements listed above.