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42dot

Simulation Engineer – Autonomous Driving

42dot

Simulation Engineer designing high-fidelity environments for autonomous driving verification. Collaborating with cross-functional teams to improve algorithm reliability and performance.

Posted 7/20/2026full-timePangyo • 🇰🇷 South KoreaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing high-fidelity simulation environments for autonomous driving systems, utilizing programming languages such as C/C++ and Python, and integrating middleware like ROS/ROS2. Strong ability to analyze simulation results and collaborate effectively with cross-functional teams to enhance performance and reliability.

Highest-signal resume keywords
C/C++ ProgrammingPython ProgrammingSimulation ExperienceCloud Technologies (AWS, GCP, Azure)Middleware Development (ROS/ROS2)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
C/C++ ProgrammingPython ProgrammingSimulation DevelopmentCloud ComputingMiddleware IntegrationLinux ProficiencyGit Version ControlSQL Proficiency
Soft Skills
Strong Communication SkillsCollaboration Skills
Industry Keywords
Autonomous DrivingRoboticsSimulation Technology

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformLinuxPythonSQL

About the role

Key responsibilities & impact
  • 자율주행 알고리즘 및 소프트웨어 검증을 위한 고정밀 시뮬레이션 환경 설계 및 개발
  • 차량, 센서 및 주행 환경 모델을 구현하고 시뮬레이션 프레임워크에 통합
  • Perception, Planning, Control 알고리즘 검증을 위한 시뮬레이션 시나리오 설계 및 성능 평가 수행
  • Software Engineer, Robotics Engineer, Data Scientist 등 다양한 조직과 협업하여 시뮬레이션 환경을 개발 파이프라인에 연계
  • 시뮬레이션 결과를 분석하고 성능 개선을 위한 인사이트 및 개선 방안 도출
  • 최신 시뮬레이션 기술과 개발 방법론을 검토하고 서비스에 적용
  • Develop and maintain high-fidelity simulation environments for testing autonomous driving algorithms and software
  • Implement realistic vehicle models, sensor models, and environmental models within the simulation framework
  • Design and execute simulation experiments to validate and verify the performance of perception, planning, and control algorithms
  • Collaborate with software engineers, robotics engineers, and data scientists to integrate simulation tools into the development pipeline
  • Analyze simulation results and provide actionable insights to improve the performance and reliability of autonomous driving systems
  • Stay up-to-date with the latest advancements in simulation technology and incorporate them into our development processes

Requirements

What you’ll need
  • C/C++, Python 등 프로그래밍 언어를 활용한 개발 역량
  • Simulation, Autonomous Driving 또는 Robotics 관련 프로젝트 수행 경험
  • AWS, GCP, Azure 등 Cloud 환경 활용 경험
  • ROS/ROS2 등 Middleware 개발 및 Integration 경험
  • Linux, Git, SQL 활용 경험
  • 다양한 조직과 원활하게 협업할 수 있는 커뮤니케이션 역량
  • Excellent programming skills in C/C++, Python, or similar languages
  • Project experience related to simulation, autonomous vehicles, or robotics
  • Experience working with cloud technologies such as AWS, GCP, or Azure
  • Experience developing and integrating middleware such as ROS/ROS2
  • Proficiency with Linux, Git, and SQL
  • Strong communication and collaboration skills

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities