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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-time$125k - $200k /yr

About the Job

Requirements

  • Have an excellent understanding of engineering and machine learning; this is a strict requirement.
  • Have experience with simulation.
  • Hold a master's degree in engineering, Applied Mathematics, or Physics.
  • Have strong experience with Python programming and experience with machine learning and deep learning frameworks and libraries.
  • Be able to communicate technical concepts clearly to technical and non-technical stakeholders.

Responsibilities

  • Implement projects with customers’ engineering teams, develop tailored solutions, and analyze project data using Python.
  • Apply deep-learning tools to engineering and physics problems.
  • Deliver proofs of concept demonstrating the technology’s value in CAD, CAE, and manufacturing workflows.
  • Train customer teams to use the NC platform effectively and support adoption of AI in their workflows.
  • Work with the product team to translate customer feedback into product improvements.
  • Travel to customer locations in the United States.

Desired Qualifications

  • Industry experience in CAD or CAE modeling, including CFD or FEM.

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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