About the role
Neural Concept’s Vertical Solutions team turns the most common engineering use cases into streamlined, production-grade workflows empowered by leading AI technologies. As a CAE Engineer, you’ll shape multi-fidelity simulation models and automation tailored to specific industry applications. You’ll operate in a cross-functional unit to move from one-off analyses to robust, repeatable solutions including best practices, APIs, and benchmarks that scale across projects. You’ll assist in translating customer problems into meshing playbooks, solver configurations, and KPIs, then harden them into automated pipelines that integrate with our platform and with customer toolchains.
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
Simulation modelling and domain expertise with 3+ years of experience in at least one of: CFD/heat transfer, or electromagnetics applied to engineered systems.
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.
Top Skills
What We Do
Neural Concept is revolutionizing engineering with AI.
We provide a leading end-to-end platform that places AI at the center of the product development process, helping engineers design faster, smarter, and better. Our Engineering Intelligence platform empowers teams to build and deploy AI-driven workflows that drastically shorten development cycles, boost design quality, and increase competitiveness — all while embedding the team’s know-how into the tools they use every day.
Spun out from EPFL in 2018, Neural Concept works with over 70% of the world’s largest OEMs and 40 of the top 100 Tier-1 suppliers.
Neural Concept is backed by Forestay Capital and the D.E. Shaw group.
