About the role
Key Responsibilities:
- MBD Model Development:
- Lead the development of control algorithms and models using Model-Based Design (MBD) methodologies for automotive systems, including but not limited to powertrain, electric drives, and chassis control systems.
- Utilize industry-standard MBD tools (e.g., MATLAB, Simulink, Stateflow) for control system modeling, simulation, and validation.
- Collaborate with system engineers to define control system requirements and convert them into functional models for simulation.
- Control Algorithm Design:
- Design, implement, and optimize advanced control algorithms, such as PID controllers, state-space models, nonlinear control, adaptive control, and optimal control techniques for automotive applications.
- Develop and simulate control strategies for various automotive subsystems like engine control, battery management, torque vectoring, and adaptive cruise control.
- Evaluate control strategies based on performance criteria such as system stability, response time, fuel efficiency, and safety.
- Integration and Testing:
- Integrate control algorithms with hardware and software systems, ensuring smooth interaction between the control system and vehicle subsystems.
- Perform extensive validation and verification of control models using simulation, hardware-in-the-loop (HIL) testing, and vehicle testing to meet performance, safety, and regulatory requirements.
- Support testing activities to fine-tune algorithms, troubleshoot issues, and optimize control strategies for real-world conditions.
- Continuous Improvement and Optimization:
- Stay up-to-date with the latest advancements in MBD and control algorithms for automotive applications.
- Proactively identify and apply new methodologies, tools, and best practices to improve the efficiency and robustness of control algorithms.
- Drive innovation in control strategies for emerging automotive technologies, such as electric vehicles (EVs), autonomous driving, and advanced driver assistance systems (ADAS).
- Collaboration with Cross-Functional Teams:
- Work closely with hardware engineers, software developers, and systems engineers to ensure that control algorithms are properly implemented and integrated into the broader vehicle architecture.
- Provide technical guidance and support to team members and stakeholders on control algorithm development, MBD tools, and model simulation.
- Assist in defining requirements, specifications, and testing procedures for control algorithms in collaboration with other engineering teams.
- Documentation and Reporting:
- Document control algorithms, models, simulations, and test results for traceability and future reference.
- Prepare technical reports, presentations, and other documentation for internal stakeholders, management, and customers, detailing algorithm performance and testing outcomes.
- Provide regular updates on project status, including any issues or risks.
- Education:
- Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Control Systems Engineering, Automotive Engineering, or a related field.
- Advanced coursework or certifications in control systems, vehicle dynamics, or MBD is a plus.
- Experience:
- 7+ years of experience in Model-Based Design and control algorithm development in the automotive industry.
- Strong background in developing and implementing control algorithms for automotive subsystems, including powertrain, chassis control, ABS ,MCU and vehicle dynamics.
- Hands-on experience with MBD tools such as MATLAB, Simulink, Stateflow, or similar.
- Experience with hardware-in-the-loop (HIL) testing, simulation tools, and automotive communication protocols (CAN, LIN, etc.).
- Technical Skills:
- In-depth knowledge of control theory, including linear and nonlinear control, optimization, adaptive control, and modern control techniques.
- Expertise in MATLAB/Simulink model development, simulation, and validation of control systems.
- Proficient in modeling, simulating, and optimizing automotive systems, including powertrain, electric drivetrains, and vehicle control systems.
- Familiarity with vehicle dynamics modeling and control for applications such as stability control, traction control, and energy management in electric vehicles.
- Experience with real-time simulation, embedded systems, and integration of control algorithms with embedded ECUs.
- Soft Skills:
- Excellent problem-solving, analytical, and troubleshooting skills.
- Strong teamwork and collaboration skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
- Ability to work effectively under pressure and manage multiple tasks simultaneously.
- Proactive, self-motivated, and results-oriented.
- Experience with advanced vehicle technologies such as ADAS, electric vehicles (EVs), autonomous driving, or hybrid vehicles.
- Familiarity with functional safety standards (e.g., ISO 26262) and their application to control systems.
- Experience with vehicle simulation platforms such as dSPACE, AVL, or other automotive simulation tools.
- Knowledge of optimization techniques for real-time control and energy management.
- Occasional travel may be required for on-site testing, customer meetings, or collaboration with external partners.
- Ability to work in a fast-paced, collaborative team environment.
- Work on cutting-edge automotive technologies that are shaping the future of mobility.
- Opportunities for career growth, development, and leadership in a fast-evolving industry.
- Competitive salary and benefits package in an innovative and dynamic work environment.