Position OverviewThe Controls and Calibration Applications Engineer will be responsible for developing and implementing advanced simulation technologies, AI-driven solutions, and automated workflows that facilitate virtual calibration and minimize reliance on physical testing. This role plays a crucial part in driving the future of automotive virtual engineering, working at the intersection of advanced controls engineering, digital transformation, and customer-focused solution delivery.
Responsibilities Controls Management & Integration
Ensure quality and performance of system simulation controls by developing high-fidelity vehicle control models with real-time capability, optimizing model fidelity and computational efficiency, automating custom model generation and testing workflows, and integrating advanced plant models within Simulink environments.
Customer Focus & Collaboration
Collaborate with propulsion controls and calibration teams to develop tailored simulation models, maintain requirements and feedback channels for continuous improvement, track KPIs for quality and accuracy, provide guidance and support for simulation models, foster adoption of simulation tools within controls organizations, and ensure pre-delivery model compatibility with customer systems.
Digital Innovation & Advanced Technologies
Integrate AI with traditional model-based approaches , implement RAG systems, implement thermal and torque controls for electric vehicles, design cloud setups for scalable virtual calibration, correlate models with physical test data, drive virtual calibration initiatives for electric vehicles, and research and implement emerging virtual engineering technologies.
Qualifications - Background in Electrical Engineering, Mechanical Engineering, Controls Engineering, or related technical field; Master's degree preferred
- 3+ years in automotive controls engineering, simulation, or related field
- Proficiency in Simulink, GT-Power, Amesim, MATLAB, Python, C/C++, and scripting languages
- Experience with vehicle calibration processes and methodologies, including INCA, Vector tools, or similar calibration software
- Knowledge of AI/ML technologies, Neural Networks, Large Language Models, and cloud computing (AWS, Azure)
- Understanding of vehicle control systems, real-time systems, co-simulation and system integration
- Strong problem-solving, analytical skills, and systems thinking; collaborative with cross-functional teams
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