Senior Engineer / Lead Engineer - Virtual Engineering - Ai Cae
General Motors
Bengaluru, India
Hybrid
Ai innovation in cae analysis
Reduced order modelling
Simulation data driven ml
Drive AI innovation in CAE analysis by executing end-to-end projects from idea to deployment
Job Summary
Drive AI innovation in CAE analysis by executing end-to-end projects from idea to deployment.
Collaborate with stakeholders to understand business problems and translate them into AI solutions for simulation result prediction, design optimization, and automation of repetitive CAE tasks.
Ensure all AI solutions comply with organizational data security, confidentiality, and regulatory requirements while staying updated on advancements in AI and simulation techniques.
Matching Summary
Drive AI innovation in CAE analysis by executing end-to-end projects from idea to deployment.
Skills & Requirements
Must-have
AI innovation in CAE analysis
Reduced order modelling
Simulation data driven ML
Python, MATLAB, CAE tool APIs
ML frameworks like Pytorch, TensorFlow
Data security and regulatory compliance
Nice-to-have
multi-physics simulations
Bayesian optimization and DOE
ML Ops practices for model deployment
Curiosity for AI innovation
Clear communication of technical concepts
Key Requirements
5+ years experience in CAE at Automotive Product Development
3+ years' experience implementing AI solutions in CAE
5+ years of Core CAE domain experience
Bachelor’s or Masters Degree in Engineering discipline