Senior CAE and AI Expert

Posted 8 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Senior level
Artificial Intelligence • Automotive • Information Technology • Software
The Role
Own and develop production-grade CAE simulation workflows, validation benchmarks, and solution assets for automotive crash and safety analysis and consumer electronics durability testing. Automate preprocessing, solver execution, post-processing, and optimization using Python and leading FEA tools. Partner with Product and Engineering to shape simulation platform capabilities, validate workflows, and communicate technical requirements to customers and non-specialist stakeholders.
Summary Generated by Built In
About the Role

Neural Concept accelerates the full engineering simulation cycle. Our AI platform compresses the time from design change to validated result, so engineering teams can explore more, iterate faster, and ship better products. The Vertical Solutions team turns that capability into production-grade, domain-specific solutions for our customers.

As a Senior CAE and AI Expert, you will own the simulation workflows, benchmarks, and solution assets that sit at the heart of what we deliver. Your work will land directly inside the engineering processes of leading automotive OEMs and consumer electronics companies — accelerating the entire cycle from geometry change through to crash, safety, and drop test results.

What You Will Do
  • 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.

Nice to Have
  • Familiarity with AI-assisted simulation acceleration, design optimisation, or parametric study automation

  • Comfort with Git and modern dev environments/IDEs; basic CI for validation of templates and scripts

  • Master HPC and Cloud resources. Execute and refine complex simulations within high-performance computing environments, effectively deploying GPU acceleration to maximize workflow performance.

What You Get
  • Competitive salary and benefits

  • Training budget — we believe continuous education is essential for you and for us.

  • Work directly with a world-class engineering team that sets high standards and means it.

  • Visible, high-impact work inside a collaborative, multicultural environment where your contributions are recognised.

  • Real influence on how the world’s best engineering organisations use AI to design better products — faster and more sustainably.

  • Ample GPU/CPU resources via HPC and Cloud for your simulation and AI workloads.

  • Hybrid working model — 3 days in the Lausanne office, flexible hours, and we care about output not 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.

Skills Required

  • 5-8 years of hands-on FEA simulation experience
  • Experience with vehicle crash, drop test, pedestrian safety, passenger safety, or product durability simulations
  • Expertise with mechanical pre-solve-post tools including ABAQUS, LS-Dyna, Radioss, Hypermesh, Simlab, ANSA, Meta, or d3plot
  • Strong command of structural nonlinear simulation, including implicit and explicit solvers, contact formulations, material models, and failure criteria
  • Experience with end-to-end simulation workflows from CAD preparation through meshing, solving, post-processing, and visualization
  • Scripting and programming experience; Python preferred, with C++, Java, or C# valued
  • Ability to independently own deliverables and communicate complex technical concepts clearly
  • Proficiency in written and spoken English
  • Familiarity with AI-assisted simulation acceleration, design optimization, or parametric study automation
  • Comfort with Git and modern development environments or IDEs
  • Basic CI experience for validating templates and scripts
  • Experience with HPC and cloud resources, including GPU-accelerated simulation workloads
  • Exposure to OpenFOAM, FEniCSx, Gmsh, or ParaView
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The Company
HQ: Lausanne
91 Employees
Year Founded: 2018

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.

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