What You Will Do

• 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.

Who You Are

• 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 and Japanese (preferably native)

What You Get

• 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.

We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.