Simulation Integration Engineer – Software-In-Loop (SiL) Controls Integration and Simulation Development
General Motors
- Location
- Pontiac Michigan United States of America
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 267 approvals (FY2023)
- Posted
- Sep 3, 2026
Skills
About this role
Job Description
The Role We are currently seeking experienced and motivated candidates for the role of SiL SIE (Software-in-the-Loop Simulation Integration Engineer) 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, chassis, and body electronics. The Simulation Integration Engineer is responsible for leading the move to virtual engineering by leading the integration of 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 Propulsion Engineering (PE), Vehicle Motion Embedded Controls (VMEC), Embedded Platform Systems & Infrastructure (EPSI), 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. He or she will work as a liaison between the Plant Modeling team, Tools team, and internal development teams, to integrate and deliver simulation environments on time and with quality. A balance of technical and project leadership skills and the ability to think outside the box to find simple yet exciting solutions is paramount.
Responsibilities
Work closely with stakeholders to identify requirements, schedule, and deploy simulation projects to enable virtual vehicle design, development, and validation Engage with cross functional team members to coordinate on-time delivery of simulation components to meet requirements and timing Integrate plant models and other ECU models with controller software source code and perform virtual system verification based on requirements Obtain, develop, parameterize, and test virtual controller models to be used across different components such as HWIO, RTOS, controller I/O, and other ECU behavioral models Perform simulation correlation activities based on experimental data Create, maintain, and improve standard simulation architectures Provide support for released simulations, including detailed documentation, and assist users with testing and troubleshooting Design, develop, verify, and execute automated test suites Assist initiatives to benchmark and adopt next-generation simulation technology and tools Identify, implement, and standardize new simulation development processes of engineering Provide process and architecture feedback improvements Work in and using the SAFe / Agile construct All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.
Qualifications
REQUIRED: BS Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, or Aerospace Engineering 2+ years of relevant experience SIMULATION TOOLS: adept experience with MATLAB, Simulink, GMSim, ECU behavioral models; in the context of plant model development and integration PLANT MODELS: familiarity or experience with tools such as MATLAB, Simulink, GT Suite, GT Power, CarSim, AMESim, etc. and integrating these models into CoSimulations EMBEDDED SOFTWARE: experience with embedded controls software and architectures, especially AUTOSAR COMMUNICATION PROTOCOLS: familiarity with automotive communication technologies including CAN, LIN, SPI, Ethernet Familiarity in computer programming languages including C/C++, Python Experience in leading large and/or difficult projects with high levels of ambiguity Proven ability to work in teams, balancing technical theory with practical limitations. Strong oral and written communication skills. PREFERRED MS Mechanical Engineering, Electrical