What you will do

• Build, validate, and maintain multi-fidelity simulation models; tune the accuracy/speed trade-off and best-practice settings for versatile purposes.

• Calibrate models against benchmarks or test data; document assumptions, limitations, and verification steps.

• Automate full CAE pipelines: CAD preparation, meshing, solver setup, job submission/monitoring, post-processing, and visualization.

• Contribute to lightweight APIs for launching studies and retrieving results at scale.

• Run and optimize simulations on HPC/Cloud environments and leverage GPU acceleration where applicable.

• Work with software engineers to integrate CAE solutions into data pipelines and the core product.

• Partner with ML Engineers to expose parameters, metrics, and artifacts for analysis and iteration.

Who you are

• Strong simulation background in electro-magnetics applied to engineered systems. Additional experience in CFD, heat transfer, and/or FEA is a significant plus.

• Experience with end-to-end simulation workflows across CAD Meshing Solving Post-processing Visualization.

• Proficiency with commercial CAE software (e.g., Ansys suite, Ansys Motor-CAD, JMAG, or equivalent).

• Scripting/programming: Python (required); also valuable: C++, Java/C#.

• Exposure to open-source tools (e.g., OpenFOAM, FEniCSx) and pre/post tools (e.g., Gmsh, ParaView).

• Strong written and verbal communication skills in English.

• Hands-on practice running workloads on Cloud/HPC; familiarity with batch scheduling and job orchestration is a strong plus.

• Experience building automation with commercial solver APIs or macros (e.g., PyAnsys, JMAG scripting) is a strong plus.

• Comfort with Git and modern dev environments/IDEs; basic CI for validation of templates/scripts is a strong plus.

You get

• Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.
• Benefit from a competitive salary and rewarding opportunities as we continue to scale.
• Thrive in a collaborative, multicultural environment where your work is visible and recognized.
• Develop professionally alongside talented colleagues who share knowledge freely and support one another.
• Ample GPU/CPU resources via HPC/Cloud and a training budget.
• Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.
• Balance life and work with a hybrid model (40% remote) and flexible hours—we care about results, not rigid schedules.

We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.