Senior Control System Engineer (Autonomous Driving)
Description For Senior Control System Engineer (Autonomous Driving)
42dot is seeking a Senior Control System Engineer to develop advanced control systems for solving complex challenges in autonomous driving. The role focuses on developing robust and reliable autonomous driving systems through collaboration with experts in motion planning, functional safety, and hardware engineering. The position involves leading control algorithm integration, performance improvements, and engineering team leadership. The ideal candidate will have extensive experience in control system design, particularly in autonomous vehicles, with strong expertise in robust control, vehicle dynamics, and real-time systems. The role combines technical leadership with hands-on development, requiring both deep technical knowledge and the ability to mentor junior engineers. Located in Pangyo's Software Dream Center, the position offers an opportunity to work on cutting-edge autonomous vehicle technology in a hybrid work environment.
Responsibilities For Senior Control System Engineer (Autonomous Driving)
- 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 operations
- Develop and optimize estimation algorithms for key vehicle parameters such as road grade, vehicle speed, and slip to improve control system precision and reliability
- Collaborate closely with teams focusing on motion planning, behavior planning, and mission planning to ensure smooth system integration
- Provide guidance on control architecture and system optimization, and mentor junior engineers
Requirements For Senior Control System Engineer (Autonomous Driving)
- Bachelor's/Master's degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or related field
- 5+ years of experience in control system design, particularly in autonomous vehicles or similar fields
- Strong expertise and practical experience in Robust Control, vehicle dynamics, and systems engineering
- Practical experience with system interference observation, system identification, and state estimation techniques like Kalman filters and particle filters
- Proven experience with actuator control in low-level control systems
- Proficiency in C++, Python, or equivalent programming languages
- Experience working with safety-critical environments in real-time control systems
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