Senior Control System Engineer (Autonomous Driving)

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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 systems, delivering reliable, robust control in real-world environments. Build and deploy advanced control methods (MPC, LQR/LQG, SMC, PID), formulate real-time trajectory optimization under nonlinear constraints, and develop safety-critical, real-time C++ software with ROS2. Integrate planning outputs and RL/IL-based policies, then validate and tune performance on vehicle hardware to improve stability, ride comfort, and safety.

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.
•Develop 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 maximize 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 industry experience).
•Strong control theory knowledge including MPC, LQR/LQG, SMC, and PID, with experience modeling linear and nonlinear systems.
•Experience developing embedded and real-time software using C++ for production-grade systems.
•Experience developing with ROS2 (or similar middleware).
•Proven experience controlling and tuning hardware actuators in automotive or robotics systems through production deployment.

Experience:3+ yearsAutonomous drivingRoboticsAutomotive

Education:Master's

Tech Stack:MPCLQR/LQGSMCPIDC++ROS2RL/ILTrajectory OptimizationCasADiOSQPIpoptQP/NLPFiltering

Company Brief

42dot

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42dot

1 week ago

Senior 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

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.
•Develop 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 maximize 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 industry experience).
•Strong control theory knowledge including MPC, LQR/LQG, SMC, and PID, with experience modeling linear and nonlinear systems.
•Experience developing embedded and real-time software using C++ for production-grade systems.
•Experience developing with ROS2 (or similar middleware).
•Proven experience controlling and tuning hardware actuators in automotive or robotics systems through production deployment.

Experience:3+ yearsAutonomous drivingRoboticsAutomotive

Education:Master's

Tech Stack:MPCLQR/LQGSMCPIDC++ROS2RL/ILTrajectory OptimizationCasADiOSQPIpoptQP/NLPFiltering

Company Brief

42dot

Website