CFD/AI Engineer
Role Description and Responsibilities
We’re looking for an AI Engineer with strong CFD expertise to join our SIMULIA Fluids R&D team. You’ll work alongside experienced solver developers on our finite volume solver, helping to apply machine learning to improve performance, robustness, and workflow efficiency. The work involves both developing new ML/AI models and integrating them into a larger CFD framework.
· Develop and integrate machine learning algorithms to improve solver robustness, performance, and convergence.
· Create AI foundational models tailored for CFD applications.
· Automate key aspects of CFD workflows to enhance usability and reduce user effort.
· Collaborate with cross-disciplinary teams (structures, electromagnetics, optimization, and product development) to design AI-driven solutions.
· Contribute to long-term R&D initiatives shaping the future of simulation technology.
Qualifications
· Ph.D. in ML/AI, Aerospace Engineering, Mechanical Engineering, or a related field.
· Strong foundation in fluid dynamics, heat transfer, and numerical methods.
· Proven experience in CFD algorithm development.
· Deep understanding of ML/AI techniques, especially in the context of scientific computing or simulation.
· Demonstrated ability to integrate ML/AI into CFD workflows to enhance simulation speed or accuracy.
Desired experience/skills
· 5+ years of hands-on experience in industrial or academic CFD software development.
· Proficiency in C++ and software engineering best practices.
· Experience building and maintaining large-scale, production-grade scientific software.
· Familiarity with high-performance computing environments.
Inclusion statement
Compensation & Benefits
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $142382 and $218500, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

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