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Neural Concept

3D deep-learning CAD-CAE design optimization

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeLausanne, SwitzerlandNo salary listedHybrid

About the Job

Requirements

  • A Master's or PhD degree in Engineering, Applied Mathematics, or Physics.
  • An excellent understanding of engineering and machine learning.
  • Strong experience with Python programming and experience with machine-learning and deep-learning frameworks and libraries.
  • Experience with simulation.
  • Fluency in English is mandatory.
  • Ability to convey technical concepts clearly to technical and non-technical stakeholders.

Responsibilities

  • Run projects with customer engineering teams, analyze and process engineering data using the platform and Python libraries, and develop tailored solutions and workflows.
  • Apply machine-learning and deep-learning workflows to engineering and physics problems, and deliver proofs of concept demonstrating the technology's value in CAD, CAE, and manufacturing.
  • Train customer teams to use the methods and platform effectively and support AI adoption in their workflows.
  • Work with developers to translate customer needs and feedback into product improvements.

Desired Qualifications

  • Industry experience in CAD/CAE modeling, including CFD or FEM.
  • French language skills.

About the Company

Neural Concept

3D deep-learning CAD-CAE design optimization

Neural Concept uses 3D deep-learning to improve product design in automotive and aerospace. Its product, Neural Concept Shape (NCS), analyzes designs directly within CAD to provide physics-based insights, guiding designers without the need for meshing and lengthy simulations. This speeds up the design workflow by bridging CAD and CAE teams, reducing iteration time and late-stage failures. The company licenses its technology to clients, integrating into existing design processes, and has partnered with OEMs and Tier 1 suppliers such as Danfoss and Mitsubishi Chemical Group to boost performance and efficiency. Its goal is to help customers cut design lead times by substantial margins (claimed over 90%) and deliver better-performing products faster.

Company size
51-200
Company stage
Series C
Total funding
$137.8M
Headquarters
Lausanne, Switzerland
Founded
2018

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