INTERNSHIP: AI for CFD

Our Dassault Systemes SIMULIA brand provides best-in-class simulation technologies integrated into the 3DEXPERIENCE platform in the most effective way possible. The Fluids group in SIMULIA consists of a world-class group of experts who develop the next generation of fluids solver capabilities. As part of SIMULIA software simulation products, these innovations impact how Computational Fluid Dynamics (CFD) is used in many industrial settings worldwide.

We are looking for a CFD engineer with AI experience who can help test agentic workflows for our fluids technology. This is a paid six month internship/co-op. The position is based at the Dassault Systemes Office at 175 Wyman Street, Waltham, MA.

We are developing next-generation agentic AI technology for Computational Fluid Dynamics (CFD). Our vision is to

transform how engineers interact with simulation software by combining advanced AI systems, engineering expertise, and modern agent-based workflows.

We are seeking a highly motivated intern with interests spanning CFD, artificial intelligence, and product development.

This role offers a unique opportunity to work at the intersection of engineering simulation, AI, and product strategy. The intern will collaborate closely with software developers, AI engineers, and product managers to evaluate new capabilities, provide technical feedback, and help shape the future direction of an AI-powered engineering product.

We will provide you with the steps, tools, and leadership that will help advance your career at Dassault Systemes and help our customers reach their goals.

In this role you will:

• Perform industrially-relevant CFD simulations

• Evaluate and test new AI-driven CFD capabilities and workflows

• Work directly with developers to identify usability issues, performance gaps, and opportunities for improvement

• Provide structured feedback on agent behavior, workflow design, and user experience

• Design and execute test cases that reflect real-world CFD engineering tasks

• Assess the quality, accuracy, and usefulness of AI-generated engineering outputs

• Collaborate with product managers to define requirements, prioritize features, and refine product direction

• Document findings, recommendations, and product feedback for technical and non-technical stakeholders.

Required

• Pursuing a Master's or Ph.D. degree in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Computer Science, or a related field Strong understanding of Computational Fluid Dynamics (CFD) fundamentals including Navier-Stokes algorithms and RANS turbulence models

• Experience with one or more CFD tools such as: ANSYS Fluent, STAR-CCM+, OpenFOAM, Simcenter FLOEFD, COMSOL Multiphysics, or similar CFD software

• Familiarity with AI and machine learning concepts.

• Ability to work independently

• Excellent written and verbal communication skills.

• Ability to evaluate technical systems critically and provide actionable feedback.

Preferred

• Experience applying machine learning to engineering or scientific problems.

• Familiarity with large language models (LLMs) and generative AI technologies.

• Understanding of AI agents, multi-agent systems, or agentic workflows.

• Exposure to simulation automation, scripting, or workflow orchestration.

• Experience with Python and scientific computing libraries.

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