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Simulation Engineer (Autonomous Driving)

Roles & Responsibilities

  • Excellent programming skills in C/C++/Python.
  • Project experience in simulation, autonomous vehicles, or robotics.
  • Proficiency with cloud technologies like AWS, GCP, or Azure.
  • Knowledge of middleware development and integration such as ROS/ROS2.

Requirements:

  • Develop and maintain simulation environments for testing autonomous driving systems.
  • Implement vehicle, sensor, and environmental models within simulations.
  • Design and execute experiments to validate perception, planning, and control algorithms.
  • Collaborate with cross-functional teams to integrate simulation tools into development pipelines.

Job description

We are looking for the best

We are seeking a highly skilled Simulation Engineer to join our Autonomous Driving organization. As a Simulation Engineer, you will play a key role in developing and maintaining advanced simulation environments to validate and verify the performance of our autonomous driving systems. You will work closely with crossfunctional teams to ensure the robustness, scalability, and accuracy of our simulation tools.

Responsibilities

  • Develop and maintain highfidelity 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 uptodate with the latest advancements in simulation technology and incorporate them into our development processes

    • Qualifications

      • Having excellent programming skills (CC++Python, etc.)

      • Project experience aligned to simulation, autonomous vehicles, or robotics

      • Proficient in working with cloud technologies (AWS, GCP, Azure, etc.)

      • Skilled in working with middleware development and integration (e.g., ROSROS2)

      • Comfortable with Linux, Git, and SQL

      • Possess communication skills for collaboration with other teams

        • Preferred Qualifications

          • M.S or Ph.D. degree in a relevant engineering program

          • Proficient in using simulation software, such as Carla, CarSim, Simulink, or similar tools

          • Understanding of selfdriving stack and cloud technologies

            • Interview Process

              • 서류전형 코딩테스트 화상면접 (1시간 내외) 대면 혹은 화상면접 (3시간 내외) 최종합격

              • 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.

              • 전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.

                • Additional Information

                  • 이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.

                  • 모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)

                  • 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.

                  • 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.

                  • 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.

                  • 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.

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