Join and lead the Dorle Controls team as we move forward towards our vision of creating innovations for sustainable mobility through global collaborations.
Dorle Controls is a 360-degree controls software development & integration solution provider for electric and autonomous vehicle systems, focused on achieving its mission of developing sustainable & efficient vehicles with innovative, robust, and lean engineering practices. We provide a fast-paced R&D environment and deliver integrated solutions for mechanical, electrical, software, thermodynamic, and energy storage systems for modern electric and autonomous vehicle systems.
We are a trusted resource for full-time projects, overflow work, training, and resident engineering needs for the larger companies’ ePowertrain and ADAS engineering departments.
We are also a certified Minority Enterprise by NMSDC!
Our upcoming projects require working on model-based systems engineering projects, for which, two model-based systems engineering interns are required in Novi, Michigan.
•Defining, analysing and reviewing system software requirements to meet defined and anticipated customer needs adhering to system quality and performance standards
•Designing software architecture and interfaces and implementing functionality using model-based system engineering approach.
•Developing executable and descriptive behavioural models and requirements
•Modelling use cases, control system designs, requirements, robustness and verification work products
•Generating C/C++ code from models
•Writing testing plans, testing cases and conducting unit, integrations and system level testing
•System testing and validation using model based MBSE tools and processes
•Expertise and knowledge of Model Based Systems Engineering and SysML/UML concepts to support requirements analysis and definition, allocation, decomposition, and traceability
•Knowledge about model-based design tools MATLAB, Simulink and Stateflow or similar tools
•Knowledge about auto code generation though Target link or similar tools
•Knowledge of physical and empirical based model building
•Good overall knowledge of Classic and Adaptive AUTOSAR, C/C++
•Knowledge of Embedded System Engineering
•Should have valid work authorization to work in USA