Senior Control System Engineer (Autonomous Driving)

We are looking for the best 🏆

42dot's Senior Control System Engineer develops advanced control systems to solve complex and challenging problems in the field of autonomous driving. You will work with experts in motion planning, functional safety, hardware engineering, and related disciplines to develop robust and reliable autonomous driving systems. You will also lead the integration and performance improvement of various control algorithms and provide guidance to a team of engineers.

Responsibilities

• Lead the design, implementation, and optimization of longitudinal and lateral control systems for autonomous driving.
• Oversee the design and implementation of low-level control systems that translate high-level commands into specific actuator controls for real-time autonomous operation.
• Develop and optimize estimation algorithms for key vehicle parameters such as road grade, vehicle speed, and slip to improve the accuracy and reliability of the control systems.
• Work closely with teams focused on motion planning, behavior planning, and mission planning to ensure seamless system integration.
• Provide guidance on control architectures and system optimization, and mentor junior engineers.

Qualifications

• Bachelor's/Master's degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or a related field.
• 5+ years of experience in control systems design, preferably in autonomous vehicles or a similar domain.
• Strong expertise and practical experience in Robust Control, vehicle dynamics, and systems engineering.
• Practical experience in system identification and state estimation techniques such as Kalman filters, particle filters, and observer design.
• Demonstrated experience in actuator control in low-level control systems.
• Proficiency in C++, Python, or an equivalent programming language.
• Experience working in safety-critical environments in real-time control systems.

Preferred Qualifications

• Experience with ROS/ROS2 and integrating with autonomous driving systems.
• Experience in Model Predictive Control (MPC) and nonlinear control systems.
• Experience with industry standards and safety-critical systems in the automotive or aerospace domain.
• Experience with adaptive and self-tuning control algorithms that maintain and improve system performance under varying conditions such as wheel alignment errors.
• Knowledge of source control management, build processes, code reviews, and testing methodologies.
• Experience demonstrating technical competence through published research work in relevant fields.

Interview Process

• Document screening - Coding test - Video interview (about 1 hour) - In-person or video interview (about 3 hours) - Final selection
• The interview process may vary for different positions and is subject to change based on schedule and circumstances.
• We will notify you of the interview schedule and results individually via the email address you registered with your application.
• KCCV 2022 & UMOS Day 2021 - 자율주행 AI 소프트웨어 AKit Core 영상

Please check the following information before applying.

• 42dot's way of working, 42dot Way
• 42dot's unique employee engagement program, Employee Engagement Program