•Own vertical solution assets end-to-end. Design and develop simulation workflows, validation benchmarks, and solution templates for automotive structural analysis (crash, occupant safety, pedestrian safety) and consumer electronics durability (drop test, vibration). Take assets from concept through to handover to Sales and Customer Success.
•Accelerate the full simulation pipeline. Map the complete cycle — design change, automated meshing, solver configuration, job execution, and design optimisation — onto Neural Concept's platform. Define accuracy and speed requirements, validate against benchmark data, and deliver repeatable, production-grade workflows using tools such as ABAQUS, LS-Dyna, Radioss, Hypermesh, ANSA, and Simlab.
•Write Python automation and tooling. Script data preprocessing, solution packaging, and workflow integration. Maintain solution reproducibility standards and contribute to internal tooling libraries.
•Drive the product roadmap from the field. Partner with Product and Engineering to surface simulation-specific platform requirements, validate new capabilities, and feed real-world use cases directly into development priorities.
WHO YOU ARE
•5–8 years of hands-on FEA simulation experience, in the application of vehicle crash, drop test, pedestrian and/or passenger safety, delivering production-quality models in automotive or consumer electronics environments
•Deep expertise in leading Mechanical pre-solve-post tools, such as: ABAQUS, LS-Dyna, Radioss, Hypermesh, Simlab, ANSA, Meta, d3plot
•Strong command of structural non-linear simulation: implicit/explicit solvers, contact formulations, material models, failure criteria
•Demonstrated experience in automotive safety simulations (crash, occupant safety, pedestrian safety) or product durability testing (drop test, shock, vibration)
•Experience with end-to-end simulation workflows: CAD preparation → Meshing → Solving → Post-processing → Visualization
•Scripting and programming: Python (preferred); C++, Java, or C# also valued. Exposure to open-source tools (e.g., OpenFOAM, FEniCSx) and pre/post tools (e.g., Gmsh, ParaView) a plus.
•Able to own deliverables independently and communicate complex technical concepts clearly to non-specialist audiences
•Proficiency in both written and spoken English, with the ability to articulate technical complexity with clarity.
