AI Control Systems Engineer

Summary

Hyundai America Technical Center, Inc. (HATCI) is looking for an engineer to join the Vehicle Control Technology Team of the Vehicle Control Software Department. The AI Control Systems Engineer will develop innovative machine learning solutions to enhance vehicle performance and customer experience in next-generation Hyundai, Kia, and Genesis vehicles.

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 (by leveraging ML, reinforcement Learning, and/or MPC) to optimize vehicle performance. Applications may include intelligent towing assist, terrain adaptation, and/or 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, etc.) to rapid prototyping hardware for in-vehicle integration
• Participate in hands-on, in-vehicle testing and tuning of control algorithms, which may include supporting validation efforts at North American proving grounds or off-road testing facilities

Skills

• 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 that contribute to optimizing vehicle behavior 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, etc.)
• 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, etc.)
• Fundamental understanding of vehicle dynamics (i.e., longitudinal, lateral, and vertical)
• Familiarity with automotive communication protocols (e.g., CAN, LIN, Automotive Ethernet, etc.) and tools (e.g., Vector CANalyzer, CANape, etc.)
• Ability to explain technical topics to both technical and non-technical stakeholders
• Excellent time management, self-management, and organization skills
• Strong written, oral, and interpersonal skills
• Master's degree or PhD with a research focus on artificial intelligence, 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

Qualifications

Must Haves

• 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 that contribute to optimizing vehicle behavior 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, etc.)
• 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, etc.)
• Fundamental understanding of vehicle dynamics (i.e., longitudinal, lateral, and vertical)
• Familiarity with automotive communication protocols (e.g., CAN, LIN, Automotive Ethernet, etc.) and tools (e.g., Vector CANalyzer, CANape, etc.)
• Ability to explain technical topics to both technical and non-technical stakeholders
• Excellent time management, self-management, and organization skills
• Strong written, oral, and interpersonal skills

Nice to Haves

• Master's degree or PhD with a research focus on artificial intelligence, 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 for You and Your Family
• 100% Employer-paid Disability and Life Insurance
• Generous Paid Time Off, Including Vacation, Sick, and Abundant Holidays
• Competitive Salaries
• A Global Environment that Fosters Diversity
• Retirement Savings and Planning Benefits
• Access to Health Savings Accounts and Flexible Spending Accounts
• Flexible Work Hours