AI-Driven CAD/CAE Solutions Engineer

CDFAM - Computational Design Symposium

Lausanne

Hybrid

CHF 120,000 - 190,000

Full time

7 days ago

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Benefits offered by this job

Hybrid work model

Flexible hours

Global collaboration

Job summary

Neural Concept is seeking a Forward Deployed Engineer to partner with automotive, aerospace and energy customers to translate their engineering data into AI-driven workflows. You will run projects with customer teams, apply 3D deep learning pipelines, and deliver tailored solutions using Python.

You will train customer teams, collaborate with developers to feed feedback into product, and help adopt AI into CAD/CAE workflows. Fluent English is mandatory; French is a plus.

Qualifications

Master’s or PhD in Engineering, Applied Mathematics, or Physics.
Strong Python programming and ML/DL framework experience.
Ability to convey complex concepts to technical and non-technical stakeholders.
Experience with CAD/CAE modelling is a plus.
Fluent in English; French is a plus.

Responsibilities

You will run projects with our customer’s engineering teams and analyze data using our platform and Python libraries.
You will apply ML/DL workflows to engineering/physics problems and demonstrate value in CAD/CAE.
You will train customer teams to adopt AI workflows into their processes.
You will collaborate with developers to translate customer feedback into product improvements.

Skills

Python

Machine Learning

Deep Learning

Communication

English fluency

Education

Master's/PhD in Engineering

Applied Mathematics

Physics

Tools

TensorFlow

PyTorch

Job description

You will train customer teams, collaborate with developers to feed feedback into product, and help adopt AI into CAD/CAE workflows. Fluent English is mandatory; French is a plus.

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