Senior Planning & Control System Engineer – Autonomous Driving

42dot

Senior engineer designing autonomous-driving control algorithms and safety-critical software at 42dot. Integrating planning, AI policies, and vehicle dynamics for reliable mobility systems.

Posted 8/14/2026full-timePangyo • 🇰🇷 South KoreaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying advanced control algorithms, real-time software development in C++, and integrating AI-driven solutions for autonomous systems. Proficient in control theory and optimization techniques, with a strong focus on safety-critical applications in automotive or robotics domains.

Highest-signal resume keywords

Control Theory ExpertiseC++ Software DevelopmentROS2 Middleware ExperienceReal-Time Optimization TechniquesKorean Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model Predictive Control (MPC)Linear Quadratic Regulator (LQR)Sliding Mode Control (SMC)Proportional-Integral-Derivative (PID)Nonlinear System ModelingEmbedded Software DevelopmentTrajectory OptimizationControl Performance ValidationActuator Control and TuningSafety-Critical Software

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

ROS2CasADiOSQPIpoptReal-Time QP/NLP Optimization

Industry Keywords

Automotive EngineeringRoboticsISO 26262MISRA C++Physical AIGenerative AIMotion PlanningState EstimationReinforcement Learning (RL)Imitation Learning (IL)

About the role

Key responsibilities & impact

Design, 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 C++ software using ROS2
Integrate planning outputs, RL/IL-based policies, and filtering algorithms into the control architecture
Validate control performance and tune parameters on vehicle hardware platforms
Optimize control systems to maximize vehicle stability, ride comfort, and safety
Collaborate closely with planning, AI, and systems engineering teams
Contribute to next-generation physical AI-powered autonomous driving system development

Requirements

What you’ll need

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 understanding of control theory, including MPC, LQR/LQG, SMC, and PID
Experience with linear and nonlinear system modeling
Proficiency in embedded and real-time software development using C++
Experience developing within ROS2 or similar middleware environments
Proven experience controlling and tuning physical actuators in automotive or robotics systems through production deployment
Required Korean proficiency level must be specified in the application form
Preferred: Ph.D. in Control Theory, Robotics, or a related engineering discipline
Preferred: Experience with CasADi, OSQP, Ipopt, and real-time QP/NLP optimization
Preferred: Knowledge of production-grade motion planning, state estimation, RL/IL policy integration, generative AI integration, ISO 26262, and MISRA C++
Preferred: Publications in top-tier control and robotics conferences or journals such as CDC, ACC, ICRA, or IROS

Benefits

Comp & perks

Preferential consideration for veterans and applicants eligible for employment protection in accordance with applicable laws and regulations
Preferential consideration for registered individuals with disabilities in compliance with the Act on Employment Promotion and Vocational Rehabilitation for Persons with Disabilities
Potential 3-month probationary period