About the RoleYou'll shape the future of computer-aided engineering by building AI that thinks like an engineer. As an AI/ML Engineer, you'll design, train, and deploy models that accelerate simulation, improve accuracy, and unlock entirely new ways of exploring the design space. From adaptive solvers and reduced-order modeling to generative design and real-time validation, your work will push the boundaries of what CAE can achieve.
You'll work alongside experts in engineering and applied AI to integrate machine learning directly into high-fidelity simulation pipelines - helping customers iterate faster, diagnose failures earlier, and bring better products to market.
This is a rare chance to join early and make a foundational impact at a company reimagining CAE for the AI era.
What You'll Do- Design, train, and deploy machine learning models for simulation and engineering applications
- Integrate machine learning into high-fidelity simulation pipelines
- Work on adaptive solvers, reduced-order modeling, generative design, and real-time validation
- Collaborate with engineering and applied AI experts to advance CAE capabilities
What We're Looking For- Proficiency in software development and programming languages (e.g., Python, C++, or Java)
- Strong knowledge of AI, machine learning, and data analysis techniques
- Understanding of engineering principles in simulation, modeling, and optimization
- Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field
- Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively
- Problem-solving skills and attention to detail with demonstrated project success
- Bonus: Experience with computer-aided engineering (CAE), computer-aided design (CAD), and product lifecycle management (PLM) tools
- Bonus: Experience working in a fast-paced, startup environment
