About the role#
This internship focuses on the intersection of engineering simulation, artificial intelligence, and software development. You will work within the SIMULIA Fluids group to test and validate AI-infused fluids technology. The role involves rigorous engineering validation and product-focused testing to ensure emerging technologies meet industrial standards. This is a paid, six-month position.
What you'll do#
- Perform industrially relevant CFD simulations.
- Validate machine learning surrogate models against high-fidelity CFD simulations and experimental data.
- Test and validate new CFD solver capabilities, including verification of flow physics across representative engineering applications.
- Evaluate and test emerging AI-driven and agentic CFD workflows.
- Assess the quality, reliability, and usefulness of AI-generated engineering outputs.
- Work with developers to identify usability issues, performance gaps, and opportunities for improvement.
- Collaborate with product managers to define validation requirements, prioritize product improvements, and refine future capabilities.
- Document validation results, recommendations, and technical findings for engineering and product teams.
What you'll need#
- Currently pursuing a Master's or Ph.D. in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, or a related field.
- Strong understanding of CFD fundamentals, including Navier-Stokes algorithms and turbulence modeling.
- Experience with CFD tools such as ANSYS Fluent, STAR-CCM+, OpenFOAM, Simcenter FLOEFD, COMSOL Multiphysics, or similar software.
- Familiarity with AI and machine learning concepts.
- Ability to work independently and collaboratively within a multidisciplinary team.
- Excellent written and verbal communication skills.
- Ability to evaluate technical systems critically and provide actionable feedback.
- Experience applying machine learning to engineering or scientific problems is preferred.
- Experience developing or validating surrogate models or reduced-order models is preferred.
- Familiarity with large language models, generative AI, or agentic AI systems is preferred.
- Understanding of AI agents, multi-agent systems, or agentic workflows is preferred.
- Exposure to simulation automation, scripting, or workflow orchestration is preferred.
- Experience with Python and scientific computing libraries is preferred.
Location & details#
- Location: Waltham, Massachusetts.
- Modality: On-site.
- Compensation: $23 - $40 per hour, commensurate with experience.
- Term: Rolling.
About Dassault Systèmes
Dassault Systèmes develops software for 3D design, simulation, and product lifecycle management. The company was founded in 1981 and maintains its headquarters in Vélizy-Villacoublay. It operates as a public company with over 10,000 employees. Its 3DEXPERIENCE platform supports innovation across industries including aerospace, life sciences, and industrial equipment.
How to get in at Dassault Systèmes
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