Cae Vehicle Optimization And Machine Learning Engineer

General Motors

St. Catharines, Ontario, Canada
Hybrid
Optimization and ml methods development
Multi-physics cae and ai/ml intersection
Root cause analysis of performance issues
The GM’s Vehicle Optimization and Machine Learning team delivers innovative solutions to complex performance challenges in vehicle development

Job Summary

  • The GM’s Vehicle Optimization and Machine Learning team delivers innovative solutions to complex performance challenges in vehicle development.
  • As an Optimization & Machine Learning Engineer, you will lead the development and deployment of advanced optimization and ML methods, rapidly root cause and resolve cross‑domain performance issues.
  • Join us if you are passionate about innovation and energized by using advanced methods and solutions to make vehicle development faster, smarter, and enable better quality vehicles for GM customers!

Matching Summary

The GM’s Vehicle Optimization and Machine Learning team delivers innovative solutions to complex performance challenges in vehicle development.

Skills & Requirements

Must-have

  • Optimization and ML methods development
  • Multi-physics CAE and AI/ML intersection
  • Root cause analysis of performance issues
  • Develop and scale ML applications for CAE
  • Process automation and scripting

Nice-to-have

  • Human-centered design process
  • Cross-domain performance challenges
  • Cutting-edge methods into robust workflows
  • Democratize optimization and ML capabilities

Key Requirements

  • 5+ years experience in CAE, optimization, and ML
  • B.S. in Engineering or related discipline
  • Experience in CAE toolsets
  • Experience in optimization tools
  • Experience with process automation and scripting
  • Knowledge of machine learning methodologies

Work Rights

Not specified

Tailored Resume

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