Physics-Informed AI & Simulation Intern at Cadence in Michigan

Summary: Cadence is a technology company focused on innovation and impact. They are seeking a Physics-Informed AI & Simulation Intern to join their R&D team, where the intern will apply skills in physics-based modeling and machine learning to enhance simulation acceleration and solver design. Responsibilities: - Build PINNs and surrogate models for FEA/CFD simulations - Integrate ML into solver pipelines for instant predictions - Collaborate with domain experts to enhance engineering analysis - Contribute to internal tools and intelligent design features Required Qualifications: - Strong foundation in physics-based modeling - Strong foundation in machine learning - Build PINNs and surrogate models for FEA/CFD simulations - Integrate ML into solver pipelines for instant predictions - Collaborate with domain experts to enhance engineering analysis - Contribute to internal tools and intelligent design features Preferred Qualifications: - Degree in Engineering, Applied Physics, or AI - Experience with Python ML frameworks and simulation software - Familiarity with Digital Twin concepts and CAE workflows - Strong foundation in physics and numerical methods Required Skills: Python ML frameworks, Physics-based modeling Important Skills: Simulation software, Digital Twin concepts, Numerical methods