Company Description

Cognitive Design by CDS is an AI-powered concurrent engineering platform that accelerates the development of high-performance, manufacturable, and sustainable products. The platform leverages a proprietary implicit-geometry engine and parametric design methods to address complex engineering challenges. It offers advanced capabilities in design exploration—enabling efficient generation and evaluation of concepts—as well as design automation for reusing parametric workflows to streamline the development of product families.

We are a team of 20+ people pushing the boundaries of engineering innovation. Our team is proudly international, representing nine nationalities. We encourage applications from all backgrounds, regardless of ethnicity, gender, or identity, provided candidates share our values of respect, inclusivity, and kindness.

Role Description

As an intern, you will work on product development challenges at the intersection of engineering and artificial intelligence. Your mission will be to develop advanced, end-to-end design workflows for aerospace and automotive components, with the goal of drastically reducing development lead times, optimizing performance and lightweighting, and maintaining manufacturability and cost efficiency.

You will work with industry-standard CAD and CAE tools such as CATIA and ANSYS, in combination with our proprietary AI-driven generative design platform, Cognitive Design.

Qualifications

• Currently enrolled in a Master’s degree program (M2) at a top engineering school or equivalent (Bac+5 level).
• Background in aerospace or automotive engineering, preferably with a specialization in mechanical engineering.
• Demonstrated initial experience in the design and analysis of structural, thermal, and/or fluid systems.
• Proficiency in CAD, FEA, and CFD tools, with the ability to quickly learn new engineering software. Experience with CATIA and ANSYS is preferred.
• Strong critical thinking skills for interpreting and validating simulation results.
• Knowledge of manufacturing processes such as additive manufacturing, die casting, machining, sheet metal forming, or injection molding.