[소프트웨어/엔지니어] Sr. Control Algorithm Engineer

A technology company is looking for a Sr. Control Algorithm Engineer. The chosen applicant will design and develop advanced control algorithms for autonomous and ADAS vehicles, spanning both modular and end-to-end control stacks.

Responsibilities:

• Design, implement, and tune high-performance longitudinal and lateral vehicle controllers, focusing on Model Predictive Control (MPC)
• Develop high-fidelity vehicle dynamics models for simulation and control logic design, continuously improving model accuracy and performing system identification using deep learning based on real-world driving data
• Apply data-driven deep learning techniques to develop adaptive control logic that dynamically tunes control parameters in response to real-time driving conditions
• Design and implement state estimators to estimate key vehicle states that cannot be directly measured
• Work hands-on with vehicle hardware, interfacing with ECUs, sensors, and actuators via CAN/Ethernet, and lead in-vehicle tuning and validation efforts
• Ensure stability and physical realism of control outputs generated by end-to-end models, designing post-processing filters, in-network stability layers, or rate limiters as needed
• Research and develop a safety-first "Guardian" controller that monitors E2E policy commands and intervenes to prevent safety or comfort violations
• Collaborate with the E2E team to incorporate vehicle dynamics constraints directly into the learning process using differentiable physics models or action space shaping
• Define metrics for control quality and use them to evaluate and provide feedback on E2E policy performance
• Collaborate with machine learning engineers, software integration engineers, hardware platform engineers, and quality assurance to integrate multi-vision E2E algorithms into ADAS systems
• Participate in code reviews and knowledge-sharing sessions to foster a collaborative work environment
• Mentor and provide technical guidance to junior and entry-level engineers

Requirements:

• Master's degree or above in Mechanical, Electrical, Aerospace Engineering, Robotics, or a related field
• More than 7 years of experience designing dynamic system controllers in the automotive, robotics, or aerospace industries
• Deep expertise in modern control theory (state-space, LQR, MPC) and classical control (PID)
• High proficiency in MATLAB/Simulink for model-based design and expert-level C++ ability for embedded implementation
• Solid understanding of vehicle dynamics and modeling

Preferred Requirements:

• Experience deploying controllers on real vehicles, including SIL/HIL testing and real-world vehicle calibration
• Understanding of automotive safety standards like ISO 26262 and communication protocols like CAN, FlexRay, and Automotive Ethernet
• Experience with system identification techniques for extracting model parameters from test data
• Applied experience in numerical optimisation and control

About the Company:

A leading provider of AI-based vision processing technology for autonomous vehicles and advanced driver assistance systems (ADAS). The company develops deep learning–powered software that enables vehicles to detect and recognise objects with high accuracy and efficiency.

Keywords:

엔지니어, 기술, 자동차, 로봇 공학

Job Ref: 6TESS4