Electric Drive SIL Simulation Engineer
Warren, OH - USA
Job Summary
Job Description
At General Motors our product teams are redefining mobility. Through a human-centered design process we create vehicles and experiences that are designed not just to be seen but to be felt. Were turning todays impossible into tomorrows standard from breakthrough hardware and battery systems to intuitive design intelligent software and next-generation safety and entertainment features.
Every day our products move millions of people as we aim to make driving safer smarter and more connected shaping thefuture of transportation on a global scale.
As an Electric Drive SIL Simulation Engineer you will accelerate the development of GMs next-generation electric propulsion systems by turning high-fidelity physics-based models of electric machines inverters and full electric-drive systems into a virtual engineering playground. You will build and apply these models to develop simulate and verify motor-control algorithms and system behavior across a wide range of operating conditionswell before hardware or dyno assets are available.
In this role you connect motor-controls theory electric-drive plant modeling and advanced SIL environments to enable virtual calibration automated software verification and vehicle-level analysis. You will collaborate closely with controls software calibration power electronics and vehicle teams using digital twins and virtual test benches to diagnose complex issues de-risk edge cases and directly shape the performance efficiency and robustness of GMs electric vehicles.
Major Duties and Responsibilities
Develop enhance and maintain physics-based dynamic models of electric drives including AC machines three-phase inverters DC-link behavior PWM/voltage synthesis sensing electromagnetic behavior losses nonidealities temperature effects parameter variation and protection limits.
Build models at the appropriate fidelity for control design algorithm development SIL co-simulation and vehicle-level simulation. Apply reduced-order average-value or switching representations as appropriate to the use case.
Use MATLAB/Simulink and related modeling tools to evaluate control performance efficiency losses torque response current quality robustness stability and behavior over the electric-drive operating envelope.
Translate motor inverter dyno and vehicle test data into model parameters and validation cases. Correlate simulation results to measured behavior identify sources of mismatch and recommend model or control improvements.
Design and execute simulation test plans parameter sweeps corner cases sensitivity studies and automated regression tests to evaluate model and controller performance across speed torque voltage temperature and parameter-variation conditions.
Integrate validated electric-drive models and virtual controllers into SIL/co-simulation environments. Verify interfaces signal definitions initialization execution timing and model behavior while preserving the intended physics and control fidelity.
Support reuse of common plant models and simulation assets across SIL HIL and vehicle-level CoSIM applications in collaboration with Plant Modeling HIL Controls Software Calibration and Systems teams.
Document model assumptions equations parameter sources limitations interfaces validation evidence and recommended application boundaries so that models can be used effectively by controls and calibration engineers.
Contribute to continuous improvements in model fidelity simulation speed automation usability and virtual-development capability. Provide targeted technical support to simulation users as needed.
Basic Qualifications
Bachleors degree in Electrical Engineering Mechanical Engineering Computer Engineering or a related engineering discipline or equivalent experience.
At least 3 years of relevant experience in electric-machine modeling motor controls power electronics electric-drive simulation or a combination of these areas.
Strong understanding of AC electric-machine operating principles and three-phase switching power-converter topologies.
Experience developing or using dynamic physics-based reduced-order or control-oriented models of electric drives.
Experience with MATLAB/Simulink for electric-drive modeling control simulation data analysis or algorithm verification.
Understanding of motor-control concepts such as field-oriented control space-vector or sinusoidal PWM current regulation coordinate transformations torque control maximum-torque-per-ampere and flux weakening.
Ability to analyze simulation results formulate and test hypotheses and solve complex technical problems using sound engineering methods.
Ability to read and understand embedded C algorithms and software/model interfaces; hands-on embedded software development is helpful but not the primary focus of this role.
Ability to communicate technical information effectively and collaborate with controls software calibration motor inverter test systems and tools teams.
Ability to work independently manage priorities and deliver technically sound results with appropriate documentation.
Preferred Qualifications
- Master of Science degree in Electrical Engineering Mechanical Engineering Computer Engineering or a related engineering discipline or equivalent experience.
Experience modeling permanent-magnet synchronous machines induction machines or other AC machine technologies including nonidealities saturation losses thermal effects or parameter identification.
Experience simulating and verifying motor-control algorithms across a broad operating envelope including high-speed operation voltage limitation current limitation field weakening and transient events.
Experience correlating electric-drive models to dynamometer laboratory HIL vehicle or production data.
Experience with automated simulation parameter sweeps regression testing or data analysis using MATLAB scripts Python or similar tools.
Experience with SIL HIL vehicle-level co-simulation Functional Mock-up Interface/FMU concepts or related model exchange and co-simulation standards.
Familiarity with GM electric-drive simulation tools and workflows such as GMSIM SIL instrumentation FMU Studio or related environments.
Hands-on experience in a high-voltage laboratory dynamometer inverter motor or electric-drive development environment.
Familiarity with software configuration management and development workflows such as Git continuous integration and Agile product development.
Key Technical Focus
Primary Emphasis
Physics-based electric-drive modeling
Motor-control algorithm simulation and verification
Model correlation parameterization and validation
Electric machine inverter and system behavior
Secondary Emphasis
SIL/co-simulation integration and model deployment
Model interfaces execution timing and regression automation
Targeted user support and technical documentation
Cross-functional collaboration with tools and software teams
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