You’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
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Design, train, and deploy machine learning models for simulation and engineering applications
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Integrate machine learning into high-fidelity simulation pipelines
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Work on adaptive solvers, reduced-order modeling, generative design, and real-time validation
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Collaborate with engineering and applied AI experts to advance CAE capabilities
What We’re Looking For
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Proficiency in software development and programming languages (e.g., Python, C++, or Java)
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Strong knowledge of AI, machine learning, and data analysis techniques
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Understanding of engineering principles in simulation, modeling, and optimization
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Bachelor’s or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field
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Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively
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Problem-solving skills and attention to detail with demonstrated project success
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Bonus: Experience with computer-aided engineering (CAE), computer-aided design (CAD), and product lifecycle management (PLM) tools
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Bonus: Experience working in a fast-paced, startup environment