Sumaiyya Fatima is a Software Modeling Engineer with a strong background in enterprise-scale embedded systems engineering, specializing in hardware-in-the-loop simulation, system validation, and software-defined vehicle development. She brings extensive experience in designing, modeling, and validating complex embedded control systems across automotive platforms, with a focus on integrating software and hardware to ensure reliable and scalable system performance.
In her current role at General Motors, she contributes to system calibration and validation activities, supporting vehicle programs through cross-functional collaboration with software architects, calibration engineers, and system integration teams. Her work involves developing and refining calibration strategies, conducting root cause analysis, and improving system performance through structured testing and validation processes. She has also played a key role in modeling software architectures using AUTOSAR-based tools and supporting the deployment of diagnostic requirements and system interfaces within software-defined vehicle environments.
Previously, she worked extensively on hardware-in-the-loop simulation frameworks, where she developed real-time models using MATLAB and Simulink to validate embedded controllers across multiple vehicle domains. Her contributions include automating test procedures, integrating plant models, and supporting validation teams in executing complex simulation-based testing workflows. She has also been involved in building simulation environments for powertrain, chassis, and safety systems, enabling efficient verification of software functionalities before deployment.
Earlier in her career, she gained experience in embedded software validation and control system testing within industrial applications, contributing to the development and testing of electro-hydraulic systems and machine control software. She holds a Master’s degree in Electrical Engineering and has demonstrated a strong commitment to advancing embedded systems engineering through innovation, collaboration, and continuous learning.