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Location
Hybrid (Seongnam, South Korea)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 14, 2026. 42dot scores A on the Alion truth index.

Overview
Company
Impact
Profile match
42dot is a South Korean mobility software company founded in 2019 and acquired by Hyundai Motor Group in 2022, where it serves as the group's global software centre. It develops the software-defined vehicle platform for Hyundai and Kia, covering the vehicle operating system, over-the-air updates, autonomous driving software, AI services and the cloud services behind them, with offices in Sunnyvale and Warsaw. The company is headquartered in Seongnam, South Korea.

About the Team & Mission

42dot의 Computer Vision Engineer는 안전한 Autonomous Driving 기술 구현을 위한 핵심 Computer Vision 및 Machine Learning 기술을 연구하고 개발합니다. 자율주행 차량에서 수집되는 다양한 센서 데이터를 기반으로 3D 환경을 이해하고, 사람 수준의 인지 성능을 구현하기 위한 알고리즘을 개발합니다. 또한 최신 Computer Vision 기술과 AI 모델을 활용하여 Perception 성능을 고도화하고, 차세대 Autonomous Driving System 개발에 기여합니다.

As a Computer Vision Engineer at 42dot, you will focus on researching and developing advanced computer vision and machine learning technologies for autonomous driving. You will develop algorithms that enable human-level perception by understanding 3D environments from multi-modal sensor data collected by autonomous vehicles. Working with state-of-the-art vision and AI technologies, you will contribute to the next generation of autonomous driving systems.

Responsibilities

  • 자율주행을 위한 3D Computer Vision 및 Machine Learning 알고리즘 연구 및 개발

  • 3D Shape Modeling, Object Pose Estimation, Tracking 등 3차원 인지 알고리즘 개발

  • 대규모 비정형 데이터 기반 Self-supervised Representation Learning 연구

  • World Model 및 Closed-loop Simulation 기반 Autonomous Driving 기술 연구

  • Vision, Robotics 및 Physics-based Vision 기술 연구 및 개발

  • 고성능·대규모 Vision System 설계 및 최적화

  • Conduct research and develop 3D computer vision and machine learning algorithms for autonomous driving

  • Develop 3D shape modeling, object pose estimation, and tracking algorithms

  • Research self-supervised representation learning using large-scale unlabeled scene data

  • Develop world models and closed-loop simulation technologies for autonomous driving

  • Explore advanced vision, robotics, and physics-based vision algorithms

  • Design efficient and scalable computer vision systems

Qualifications

  • Computer Vision, Robotics, Machine Learning 또는 관련 분야 석사 이상 또는 이에 준하는 실무 경험

  • 관련 분야 2년 이상의 연구 또는 개발 경력

  • Computer Vision 및 Machine Learning 알고리즘에 대한 이론 및 실무 지식

  • Python, C/C++ 기반 개발 역량

  • Master's or Ph.D. in Computer Vision, Robotics, Machine Learning, or a related field, or equivalent practical experience

  • 2+ years of relevant research or industry experience

  • Strong theoretical and practical knowledge of computer vision and machine learning

  • Proficiency in Python and C/C++

Preferred Qualifications

  • Autonomous Driving, Robotics 또는 3D Vision 관련 프로젝트 수행 경험

  • GPS, IMU, Camera, LiDAR 등 Multi-sensor Data Processing 및 Sensor Fusion 경험

  • SLAM, Depth Estimation, 3D Reconstruction, Pose Estimation 알고리즘 개발 경험

  • CUDA, OpenCL 등 병렬 프로그래밍 및 시스템 최적화 경험

  • VR/AR Application 개발 경험

  • CVPR, ICCV, ECCV, TPAMI, IJCV 등 Top-tier 학회 또는 저널 논문 게재 경험

  • 대규모 Cloud 환경에서 ML Model 개발 및 운영 경험

  • Proven experience in autonomous driving, robotics, or 3D vision projects

  • Hands-on experience with multi-sensor data processing and sensor fusion using GPS, IMU, cameras, and LiDAR

  • Experience developing SLAM, depth estimation, 3D reconstruction, or pose estimation algorithms

  • Experience with parallel programming technologies such as CUDA or OpenCL and system optimization

  • Experience developing VR/AR applications

  • Publication record in top-tier conferences or journals such as CVPR, ICCV, ECCV, TPAMI, or IJCV

  • Experience deploying and managing machine learning models in large-scale cloud environments

Interview Process

  • 서류 전형

  • 코딩 테스트

  • 1차 면접 (화상, 1시간 내외)

  • 2차 면접 (대면 혹은 화상, 3시간 내외)

  • 처우 협의·입사

  • Application Screening

  • Coding / Assignment Test

  • First Interview (Virtual, approximately 1 hour)

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

  • 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.

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