This role leads the development of advanced virtual toolchains to reduce dependence on physical testing for GM's electrified vehicle portfolio
Job Summary
This role leads the development of advanced virtual toolchains to reduce dependence on physical testing for GM's electrified vehicle portfolio.
The specialist will provide technical leadership and mentorship to cross-functional teams while balancing performance, NVH, thermal, and cost requirements.
General Motors offers a hybrid work environment where employees are expected to report to a specific location at least three times a week.
Matching Summary
This role leads the development of advanced virtual toolchains to reduce dependence on physical testing for GM's electrified vehicle portfolio.
Skills & Requirements
Must-have
PhD in Engineering or equivalent experience
10+ years electric traction motor design
Finite-element-based electromagnetic analysis
Loss modeling including PWM driven loss
Multi-domain optimization EM thermal mechanical NVH
Virtual test correlation to physical data
Nice-to-have
Machine learning AI based design methods
Experience with power electronics calibration
Knowledge of automotive machine standards
University research collaboration experience
Data-driven toolchain development expertise
Key Requirements
PhD in Engineering with focus on electric machine design
10+ years relevant experience in traction motor design
Deep experience with finite element analysis and loss modeling
Proven ability to correlate virtual results to test data