Senior Engineer / Lead Engineer - Virtual Engineering - Ai Cae
General Motors
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5+ years cae domain experience
3+ years ai solution implementation in cae
Python and matlab programming skills
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General Motors is seeking a Senior Engineer / Lead Engineer for their AI-driven Computer-Aided Engineering (CAE) team. The ideal candidate will have extensive experience in CAE, particularly in the automotive sector, and a strong background in AI implementation.
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Job Summary
This role drives AI innovation in CAE analysis by executing end-to-end projects from idea to deployment using reduced order modeling and simulation data-driven ML.
The successful candidate will collaborate with stakeholders to translate business problems into AI solutions for simulation result prediction and automating repetitive CAE tasks.
General Motors is committed to a world with Zero Crashes, Zero Emissions, and Zero Congestion while fostering an inclusive workplace where employees can thrive.
Matching Summary
Match Score: 75
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General Motors is seeking a Senior Engineer / Lead Engineer for their AI-driven Computer-Aided Engineering (CAE) team. The ideal candidate will have extensive experience in CAE, particularly in the automotive sector, and a strong background in AI implementation.
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Skills & Requirements
Must-have
5+ years CAE domain experience
3+ years AI solution implementation in CAE
Python and MATLAB programming skills
PyTorch or TensorFlow framework experience
Altair, NASTRAN, ANSYS APDL, Abaqus APIs
Nice-to-have
Multi-physics simulation knowledge
Bayesian optimization and DOE exposure
MLOps practices for deployment
Physics-informed learning techniques
Strong cross-functional collaboration skills
Key Requirements
Bachelor's or Master's degree in Mechanical/Automobile/Production/Mechatronics Engineering
US work authorization required (No sponsorship provided)
5+ years core CAE domain experience from problem definition to deployment
Work Rights
Must have US work authorization; no immigration sponsorship provided