Senior Engineer / Lead Engineer - Virtual Engineering - Ai Cae

General Motors Australia & New Zealand

Hybrid
5+ years cae domain experience
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 apply Reduced Order Modeling and Simulation data-driven ML to solve complex manufacturing problems.
  • This is a 3-year special assignment focused on enabling AI across Manufacturing workflows at General Motors.

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 domain experience
  • 3+ years AI implementation in CAE
  • Python and MATLAB programming skills
  • PyTorch or TensorFlow framework knowledge
  • Altair, NASTRAN, ANSYS, or Abaqus API expertise

Nice-to-have

  • Multi-physics simulation knowledge
  • Bayesian optimization and DOE exposure
  • MLOps practices for model deployment
  • Strong 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 immigration sponsorship (H-1B, TN, STEM OPT, etc.)
  • 5+ years of core CAE domain experience from problem definition to deployment

Work Rights

Must have valid Australian work authorization; no sponsorship provided

Tailored Resume

Cover Letter