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Key skills for this role
This position is an opportunity to be at the forefront of companies' innovative usage of simulation in industrial and research environments. You will operate across sectors such as Aerospace, Energy, Automotive and Marine, in application areas including aerodynamics, thermal cooling, fluid-structure interaction, combustion and multiphase flows.
A genuine, first-principles understanding of the underlying physics is the core requirement of this role — no amount of tooling replaces the ability to know whether a CFD result is physically sound. Beyond that, we're increasingly looking for engineers with an interest in AI along one or both of these dimensions:
Agentic AI workflows — how AI agents can orchestrate, automate, or accelerate parts of the simulation workflow (e.g. automated case setup, intelligent meshing decisions, workflow orchestration across CAD–mesh–solve–post)
AI/ML for model training and inference — how machine learning models are trained on simulation data and used for fast inference (e.g. surrogate/reduced-order models, ML-assisted design space exploration)
You don't need deep expertise in both — authentic curiosity and working familiarity with either is a strong differentiator on top of solid CFD fundamentals.
We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation—helping innovative global manufacturers design better products, faster! With the resources of a large company and the energy of a software start-up, we have fun together while creating an extraordinary software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
This position is an opportunity to be at the forefront of companies' innovative usage of simulation in industrial and research environments. You will operate across sectors such as Aerospace, Energy, Automotive and Marine, in application areas including aerodynamics, thermal cooling, fluid-structure interaction, combustion and multiphase flows.
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More from this employer
Livonia, USA
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Livonia, USA
Livonia, USA
Livonia, USA
, USA
Chicago, USA
, USA
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A genuine, first-principles understanding of the underlying physics is the core requirement of this role — no amount of tooling replaces the ability to know whether a CFD result is physically sound. Beyond that, we're increasingly looking for engineers with an interest in AI along one or both of these dimensions:
Agentic AI workflows — how AI agents can orchestrate, automate, or accelerate parts of the simulation workflow (e.g. automated case setup, intelligent meshing decisions, workflow orchestration across CAD–mesh–solve–post)
AI/ML for model training and inference — how machine learning models are trained on simulation data and used for fast inference (e.g. surrogate/reduced-order models, ML-assisted design space exploration)
You don't need deep expertise in both — authentic curiosity and working familiarity with either is a strong differentiator on top of solid CFD fundamentals.
At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and fascination and help us shape tomorrow!
We are committed to creating an inclusive workplace where all employees feel valued and respected. We welcome applications from all backgrounds and experience levels. If you require any adjustments during the recruitment process, please let us know, and we will do our best to accommodate your needs.
Verified company details for this employer are not available yet.
GBP 53600-91100 yearly / year
Full-time
Mid
Hybrid
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