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Neural Concept

3D deep-learning CAD-CAE design optimization

Forward Deployed Engineer

Implementation & Technical Account ManagementPosted on Nov 9
Full-timeParis, FranceNo salary listedHybrid

About the Job

Requirements

  • Hold a Master's or PhD degree in Engineering, Applied Mathematics, or Physics.
  • Have at least 7 years of professional experience in engineering, simulation, or applied machine learning; this is a strict requirement.
  • Have an excellent understanding of engineering and machine learning; this is a strict requirement.
  • Have strong Python programming experience and experience with machine learning and deep learning frameworks and libraries; this is a strict requirement.
  • Have experience with simulation.
  • Be fluent in English and French; both are mandatory.
  • Be able to convey technical concepts clearly to technical and non-technical stakeholders.
  • Be comfortable in a customer-facing role.

Responsibilities

  • Run projects with customers' engineering teams, analyze and process engineering data using the company's 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 value of the technology in computer-aided design, computer-aided engineering, and manufacturing.
  • Train customer teams to use the company's methods and platform effectively, ensuring smooth adoption of artificial intelligence into their workflows.
  • Work closely with developers to translate customer needs and feedback into product improvements.

Desired Qualifications

  • Experience in an industrial or customer-facing environment is ideal.
  • Industry experience in computer-aided design or computer-aided engineering modeling, including computational fluid dynamics or finite element methods, is a plus.

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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