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AI/ML Engineer

On-site
CleraSan Francisco, CA, US2 months agoWebsite
Closed
Full-time
Engineering

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Compensation

Salary undisclosed
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Description

About the Role

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

  • 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

Stack

PythonC++JavaMachine Learning
Posted
Jun 7, 2026
Last seen
Jun 25, 2026
First seen
Jun 25, 2026

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