You will run projects together with our customer’s engineering teams, analyze and process engineering data using our platform and python libraries, and develop tailored solutions and workflows
You will apply our machine
and deep-learning workflows to different engineering/physics problems, as well as deliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE, and manufacturing.
You will train customer teams to effectively use our methods and platform, ensuring smooth AI adoption into their workflows.
You will work closely with our developers to translate customer needs and feedback into product improvements.

You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshaping how engineering is practiced by industry leaders
You hold a Master’s or PhD degree in Engineering, Applied Mathematics, or Physics
You have an excellent understanding of both Engineering and Machine Learning (strict requirement)
You have strong experience with Python programming, and experience with machine learning and deep learning frameworks and libraries (strict requirement)
You have experience with simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus
You can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way
You have excellent communication skills, enjoy working with people, and feel comfortable in the customer-facing role
You are fluent in English (mandatory).

Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.
Benefit from a competitive salary and rewarding opportunities as we continue to scale.
Thrive in a collaborative, multicultural environment where your work is visible and recognized.
Develop professionally alongside talented colleagues who share knowledge freely and support one another.
Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.
Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.

Application Engineer

Key skills