Plant Modeling Engineer- Embedded

We are currently seeking experienced and motivated candidates for the role of Plant Modeling Engineer (PME) to support the Global Virtual Engineering (GVE) department. This role is part of a group responsible for creating virtual environments to enable calibration, verification, and validation of embedded controllers for engine, transmission, hybrid, electrification, and chassis.

The Plant Modeling Engineer is responsible for leading the move to virtual engineering by creating sensor and actuator virtual assets for full-vehicle cross-functional co-simulation packages that are used for all aspects of vehicle development. This position involves high level of collaboration with teams throughout General Motors including Global Electrification & Battery Systems (GEBS), Vehicle Motion Embedded Controls (VMEC), Calibration, Algorithm, Vehicle Performance, Validation, and Hardware Development. This position requires an individual with a passion for virtualization, an adept knowledge of hardware and software integrated systems, and a demonstrated capability to manage a wide variety of technical and customer needs. A balance of technical and project leadership skills and the ability to think outside the box to find simple yet exciting solutions is paramount.

• Read and understand electrical drawings, including circuit and control diagnostics of a device (sensor or actuator) 
• Develop sensor / actuator plant model architecture in Simulink or appropriate virtual tool 
• Follow and set interface standards to be used by VHiL, HiL, SiL and CoSim environments for consumption 
• Define and execute test cases based on customer feedback and model development 
• Lead and execute device data acquisition collection to aid in characterization of performance and diagnostic responses of the device 
• Manage change management (enhancement, release notes, test cases, technical support) of a model 
• Define virtualization requirements for modeling, supplier, hardware and controls community 
• Bring various groups together to comprehend supplier, hardware, controls and diagnostics requirements 
• Ability to drive balance between long term and short term actuator and sensor virtualization model requirements (fidelity) between inhouse resources and supplier based solutions 
• Coordinate and balance virtual requirements between vehicle and propulsion domains of common devices 
• Collect and comprehend Vehicle Calibration differences and translate that into model design robustness for implementing variation