Senior Planning & Control System Engineer (Autonomous Driving)

42dot
South Korea
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsEducation: mastersSkills: ["Collaboration"]

Design, implement, and optimize core controllers and motion planning algorithms for autonomous driving. Build and deploy advanced control methods (MPC, LQR/LQG, SMC, PID), formulate real-time trajectory optimization under nonlinear constraints, and develop deterministic safety-critical C++ software with ROS2. Integrate planning outputs, RL/IL-based policies, and filtering into the control architecture, then validate performance and tune parameters on vehicle hardware.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
42dot
42dot
3 days ago

Senior Planning & Control System Engineer (Autonomous Driving)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Design, implement, and optimize core controllers and motion planning algorithms for autonomous driving. Build and deploy advanced control methods (MPC, LQR/LQG, SMC, PID), formulate real-time trajectory optimization under nonlinear constraints, and develop deterministic safety-critical C++ software with ROS2. Integrate planning outputs, RL/IL-based policies, and filtering into the control architecture, then validate performance and tune parameters on vehicle hardware.
Location: South Korea
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop, simulate, and deploy advanced control algorithms including MPC, LQR/LQG, SMC, and PID.
  • •Formulate and solve real-time trajectory optimization problems under nonlinear physical constraints.
  • •Build deterministic, real-time, safety-critical software using C++ and ROS2.
  • •Integrate planning outputs, RL/IL-based policies, and filtering algorithms into the control architecture.
  • •Validate control performance on vehicle hardware and tune parameters to improve vehicle stability, ride comfort, and safety.

Key Requirements

  • •Master’s degree or higher in Control Engineering, Electrical Engineering, Mechanical Engineering, Automotive Engineering, Robotics, or a related field, with 3+ years of professional experience (or equivalent).
  • •Understanding of control theory including MPC, LQR/LQG, SMC, and PID, plus experience with linear and nonlinear system modeling.
  • •Experience developing embedded and real-time software using C++.
  • •Experience developing in ROS2 or a similar middleware environment.
  • •Proven experience controlling and tuning physical actuators in automotive or robotics systems through production deployment.
Experience:3+ yearsAutonomous drivingRoboticsAutomotive
Education:Master's in Control Engineering
Skills:Collaboration
Tech Stack:C++ROS2MPCLQR/LQGSMCPIDCasADiOSQPIpoptQP/NLPFilteringTrajectory optimization

Company Brief

42dot
Develops autonomous driving and mobility software platforms, including AI-based perception, mapping, routing, and connected-vehicle technologies. It works on next-generation transportation systems and self-driving vehicle capabilities for automotive applications.
Industry: Autonomous Vehicles
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Seoul, South Korea
Founded: 2019
WebsiteLinkedIn