AI Control Systems Engineer

About the role

Hyundai America Technical Center, Inc. (HATCI) is seeking an AI Control Systems Engineer to join the Vehicle Control Technology Team within the Vehicle Control Software Department. This team develops innovative features to enhance dynamics, controllability, and efficiency of Hyundai, Kia, and Genesis vehicles for the North American (NA) market. The role focuses on leveraging advanced techniques such as machine learning, reinforcement learning, and model predictive control (MPC) to improve vehicle performance, efficiency, and customer experience, particularly for challenging NA-use cases like heavy-duty towing and rugged off-road maneuvers.

Responsibilities

• Engineer machine learning solutions to replace or augment physical sensors (e.g., estimating payload, trailer mass, and/or tire-road friction), reducing hardware costs and improving the driving experience in rugged conditions.
• Design machine learning algorithms for high-stress systems used in towing or off-roading to predict component failures prior to occurrence, reducing downtime and maintenance costs.
• Develop machine learning algorithms to enhance personalized customer experiences within vehicle control features, adapting to individual driving styles across different environments.
• Research and develop AI-driven control strategies (using machine learning, reinforcement learning, and/or MPC) to optimize vehicle performance, including applications like intelligent towing assist, terrain adaptation, and energy management.
• Adapt and optimize complex AI models for deployment onto embedded vehicle control units, ensuring real-time execution within automotive safety constraints.
• Support the transition of novel algorithms from simulation environments (e.g., Python, MATLAB/Simulink) to rapid prototyping hardware for in-vehicle integration.
• Participate in hands-on, in-vehicle testing and tuning of control algorithms, including validation efforts at North American proving grounds or off-road testing facilities.

Requirements

• Bachelor’s degree in aerospace engineering, computer engineering, computer science, electrical engineering, mechanical engineering, robotics, or a related discipline.
• 1-7 years of professional experience leveraging advanced techniques such as machine learning, reinforcement learning, and/or MPC to research and develop AI-driven control strategies for optimizing vehicle behavior and performance.
• Proficiency in Python (for machine learning model development) and C/C++ (for embedded systems/production code development).
• Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
• Knowledge of reinforcement learning or deep learning techniques specific to time-series data or control problems.
• Proficiency in MATLAB/Simulink and Stateflow (for model-based design and control logic development).
• Solid understanding of classical and modern control theory (e.g., PID, MPC, state estimation, Kalman filters).
• Fundamental understanding of vehicle dynamics (longitudinal, lateral, and vertical).
• Familiarity with automotive communication protocols (e.g., CAN, LIN, Automotive Ethernet) and tools (e.g., Vector CANalyzer, CANape).
• Ability to explain technical topics to both technical and non-technical stakeholders.
• Excellent time management, self-management, and organizational skills.
• Strong written, oral, and interpersonal communication skills.

Preferred Qualifications

• Master’s degree or PhD with a research focus on artificial intelligence (AI), machine learning, control theory, or vehicle dynamics.
• Familiarity with electric vehicle systems, hybrid/conventional powertrains, and chassis components.
• Experience with MCU application software architectures, including AUTOSAR.

Benefits

• Zero-dollar employee premiums on medical, dental, and vision coverage for you and your family.
• 100% employer-paid disability and life insurance.
• Generous paid time off, including vacation, sick leave, and holidays.
• Competitive salaries.
• Retirement savings and planning benefits.
• Access to health savings accounts and flexible spending accounts.
• Flexible work hours.
• A global environment that fosters diversity.