Cae Vehicle Optimization And Machine Learning Engineer
General Motors Australia & New Zealand
Warren, United States
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 in the CAE organization delivers innovative solutions to some of the most complex performance challenges in vehicle development
Job Summary
The GM’s Vehicle Optimization and Machine Learning team in the CAE organization delivers innovative solutions to some of the most 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, and scale optimization/physics-based AI capabilities across GM.
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 in the CAE organization delivers innovative solutions to some of the most 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
Breakthrough hardware and battery systems
Intuitive design and intelligent software
Next-generation safety and entertainment features
Drive meaningful change
Key Requirements
B.S. in Mechanical Engineering or related discipline
5+ years experience in CAE, optimization, and ML
Experience with CAE tools (HyperMesh, OptiStruct, Abaqus, LS-DYNA, Simpack, Star-CCM+)
Experience with optimization tools (Genesis, OptiStruct, HEEDS/iSIGHT)