[집중채용] Simulation Engineer (Autonomous Driving)

Posted 8 Days Ago
Be an Early Applicant
Hiring Remotely in Pangyo-ri, Gangweon Do, KOR
Remote or Hybrid
Mid level
Artificial Intelligence • Software • Transportation
The answer to mobility and everything
The Role
Design, develop, and maintain high-fidelity simulation environments for autonomous driving. Implement vehicle, sensor, and environment models, design validation scenarios for perception/planning/control, integrate simulation tools into development pipelines, analyze results, and propose performance improvements while collaborating across engineering, robotics, and data teams.
Summary Generated by Built In
About the Team & Mission

Simulation Engineer는 Autonomous Driving System의 성능을 검증하고 개선하기 위한 고정밀 시뮬레이션 환경을 설계하고 개발합니다. 자율주행 알고리즘이 다양한 주행 환경에서 안전하고 안정적으로 동작할 수 있도록 차량, 센서 및 환경 모델을 구현하고, 시뮬레이션 기반 검증 체계를 구축합니다. 또한 Engineering, Robotics, Data Science 등 다양한 조직과 협업하여 Autonomous Driving 개발 생산성과 시스템 신뢰성 향상에 기여합니다.
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 cross-functional teams to ensure the robustness, scalability, and accuracy of our simulation tools.

Responsibilities
  • 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

Qualifications
  • 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

Preferred Qualifications
  • 관련 공학 분야 석사 또는 박사 학위

  • CARLA, CarSim, Simulink 등 Simulation Tool 활용 경험

  • Autonomous Driving Software Stack에 대한 이해

  • Cloud 기반 Simulation 또는 개발 환경 구축 경험

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

  • Experience with simulation software such as CARLA, CarSim, Simulink, or similar tools

  • Understanding of autonomous driving software stacks

  • Experience with cloud-based simulation or development environments

Interview Process
  1. 서류 전형

  2. 코딩 테스트

  3. 1차 면접 (화상, 1시간 내외)

  4. 2차 면접 (대면 혹은 화상, 3시간 내외)

  5. 처우 협의·입사

  1. Application Screening

  2. Coding Test

  3. First Interview (Virtual, approximately 1 hour)

  4. Second Interview (In-person or Virtual, approximately 3 hours)

  5. Offer Discussion / Onboarding

Additional Information
  • 전형 절차는 일정 및 진행 상황에 따라 일부 변경될 수 있으며, 각 전형 결과는 등록하신 이메일로 개별 안내드립니다.

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

  • 지원서 접수 중 오류가 발생하거나 기타 문의 사항이 있을 경우, [email protected]로 문의해 주시기 바랍니다.

  • 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.

  • 지원서 내용 중 허위 사실이 발견될 경우, 입사가 취소될 수 있습니다.

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

  • 3개월의 수습기간이 적용될 수 있습니다.

  • The recruitment process may change depending on schedule and progress; the result of each stage will be sent individually to your registered email.

    Please do not include legally prohibited information in your application (e.g., ID number, family relations, marital status, salary, photo, physical details, hometown).

  • For application errors or inquiries, contact [email protected].

  • Veterans and applicants eligible for employment protection will receive preferential consideration in accordance with applicable laws and regulations.

  • In compliance with the Act on Employment Promotion and Vocational Rehabilitation for Persons with Disabilities, registered individuals with disabilities will receive preferential consideration.

  • 42dot does not accept unsolicited resumes from search firms. We will not pay any fees for resumes submitted without prior agreement.

  • False information in your application may result in offer cancellation.

    A reference check may be conducted after the interview process, with your consent.

  • A 3-month probationary period may apply.

Skills Required

  • Proficient programming skills in C/C++ and Python
  • Project experience in simulation, autonomous driving, or robotics
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Middleware development and integration experience with ROS/ROS2
  • Proficiency with Linux, Git, and SQL
  • Strong communication and collaboration skills for cross-functional work
  • M.S. or Ph.D. in a relevant engineering discipline
  • Experience with simulation tools such as CARLA, CarSim, or Simulink
  • Understanding of autonomous driving software stacks
  • Experience with cloud-based simulation or development environments
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The Company
HQ: Seoul
739 Employees
Year Founded: 2019

What We Do

We envision a world where everything is connected and moves autonomously through a self-managing urban transportation operating system. We are spearheading the transition to SDV (software-defined vehicle) with software and AI. We are developing diverse SDV technologies that continuously provide vehicle updates and services based on data for user-centric and safe mobility. If you want to create a new future of mobility through software, AI, and automotive vehicles, check out our job openings. Come ride with us!

Why Work With Us

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