The ML Application Engineering Team

Our mission is to help our customers solve their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform to unlock the value of the most complex Computer-Aided Engineering datasets and to create a direct impact on production design processes. Using 3D deep learning, we empower our customers to develop better products faster.

What you will do

Our technology is raising strong interest from the engineering world, and the number of our users is growing quickly. As a key player in the team, your mission will be to establish trust and admiration from our customers by delivering high-quality technical work.

While working towards this goal:

• You will run projects together with the customer’s engineering teams, develop tailored solutions and analyse data for each project using Python
• You will apply our deep-learning tools to different engineering/physics problems as well as deliver proofs-of-concept demonstrating how our technology creates value in CAE workflows.
• Train customer teams to effectively use the NC platform, ensuring smooth adoption into their workflows
• Work closely with the product team to translate customer feedback into product improvements.

Who you are

• You have an excellent understanding of both Engineering and Machine Learning
• You hold a Master’s degree in Engineering, Applied Mathematics, or Physics
• You have strong Python programming skills, and at least 1 year of work experience with machine learning frameworks and libraries
• 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 eager to solve real-world problems with machine learning and automation
• You are committed to a high level of professionalism and ethics
• Fluent in English and German

What you get

• A competitive salary and generous equity compensation plan - we are growing fast and want our employees to benefit from this growth.
• Work with a world-class technology team - our engineers are top-notch!
• Global Exposure – work with leading companies and researchers worldwide.
• Work with people who care about you - we support each other and care about you so that you can thrive.
• Hybrid work options and flexible schedules to support work-life balance.
• The opportunity to contribute to changing the future of engineering - we believe that our product will contribute to changing the future of many industries.

Where you will be

Location: Munich, Lausanne, Zurich, hybrid schedule

Travelling: We try to be close to our customers and meet them regularly. This position might require up to 25% travelling to customer premises.

Start date: ASAP