Dassault Systèmes
Posted 90 days agoVerified live 1d ago
INTERNSHIP: AI for CFD
Brief overview
Waltham, MAIn-person
MastersOr in progress
$23–$40/hrStated range
314 H-1B approvalsDept. of Labor
80 green cardsCertified filings
About the company
Dassault Systèmes3ds.com
Dassault Systèmes is a catalyst for human progress.
Visa sponsorship history
4 years sponsoring, last filed FY2026H-1B dependent
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.314H-1B approved
97%approval rate
67new H-1B hires
80PERM certified
$142,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023110
202475
2025106
202623
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202326
202418
202519
202615
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202324
202419
202528
20269
Top sponsored roles
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Sponsored employees from
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Job description
Summary
Dassault Systèmes is a leader in simulation technologies integrated into the 3DEXPERIENCE platform. They are seeking a highly motivated intern with interests in Computational Fluid Dynamics (CFD) and artificial intelligence to evaluate new capabilities and shape the future direction of an AI-powered engineering product.
Responsibilities
- 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
Skills
- 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
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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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