Senior Engineer / Lead Engineer - Virtual Engineering - Ai Cae

GM

Hybrid
5+ years cae experience in automotive
3+ years ai implementation in cae
Python and matlab programming skills
This role drives AI innovation in CAE analysis by executing end-to-end projects from idea to deployment

Job Summary

  • This role drives AI innovation in CAE analysis by executing end-to-end projects from idea to deployment.
  • The successful candidate will collaborate with stakeholders to translate business problems into AI solutions for manufacturing.
  • General Motors is committed to a world with Zero Crashes, Zero Emissions, and Zero Congestion through this special assignment.

Matching Summary

This role drives AI innovation in CAE analysis by executing end-to-end projects from idea to deployment.

Skills & Requirements

Must-have

  • 5+ years CAE experience in automotive
  • 3+ years AI implementation in CAE
  • Python and MATLAB programming skills
  • PyTorch or TensorFlow framework knowledge
  • Reduced order modelling (ROM) expertise
  • Altair suite or ANSYS APDL API usage

Nice-to-have

  • Multi-physics simulation knowledge
  • Bayesian optimization and DOE exposure
  • MLOps practices for model deployment
  • Physics-informed learning techniques
  • Cross-functional collaboration skills
  • Curiosity for AI innovation

Key Requirements

  • Bachelor's or Master's degree in Mechanical/Automobile/Production/Mechatronics Engineering
  • Must not require GM immigration sponsorship
  • Hybrid work arrangement requiring office presence four times per week

Work Rights

Not specified

Tailored Resume

Cover Letter