Cae Vehicle Optimization And Machine Learning Engineer
General Motors Australia & New Zealand
Australia
Hybrid
Optimization and ml methods development
Multi-physics cae and ai/ml
Root cause and resolve performance issues
GM’s Vehicle Optimization and Machine Learning team delivers innovative solutions to complex performance challenges in vehicle development
Job Summary
GM’s Vehicle Optimization and Machine Learning team delivers innovative solutions to complex performance challenges in vehicle development.
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
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
Root cause and resolve performance issues
Scale optimization/physics-based AI capabilities
Commercial CAE/optimization software
Python, MATLAB, VBA scripting
Nice-to-have
Human-centered design process
Cutting-edge methods into robust workflows
Collaboration with data and IT teams
Continuous improvement of standard work
Key Requirements
B.S. in Mechanical Engineering, Aerospace Engineering, Civil Engineering, Electrical Engineering, Physics, or related
5+ years experience in CAE tools, optimization, ML
Experience in CAE tools (HyperMesh, OptiStruct, Abaqus, LS-DYNA, Simpack, Star-CCM+)
Experience in optimization tools (Genesis, OptiStruct, HEEDS/iSIGHT)