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 developed by our software engineers 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.
Provide technical support across all sales cycle stages, including pre-sales consultations, post-sales implementation, and ongoing customer support.
Collaborate with the sales team to deliver product demonstrations, respond to technical inquiries, and ensure customer satisfaction throughout the engagement.
- 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 a good understanding of both Physics and ML (strict requirement)
- You hold a Master’s or PhD in Engineering, Applied Mathematics, or Physics
- You have strong experience with Python programming and deep learning frameworks
- Ability to convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way
- You have excellent communication skills and feel comfortable in the customer-facing role
- You are eager to solve real-world problems with machine learning
- Industry experience in CAD / CFD / FEA modelling is a plus
- Fluent in English.
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: Zurich (Switzerland)
Travelling: We desire to be close to our customers and meet them regularly. This position might require up to 20% travelling to customer locations.
Start date: Spring 2025