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Full-time
postgraduate degree
Posted 23d ago
~40 hrs/week
Responsibilities
Research and develop 3D computer vision and machine learning algorithms to implement human-level perception for autonomous driving. Tasks include 3D shape modeling, object tracking, and creating world models for closed-loop simulations.
Requirements
Requires a Master's or Ph.D. in Computer Vision, Robotics, or Machine Learning with over 7 years of relevant experience. Proficiency in Python and C/C++ along with strong theoretical knowledge of vision algorithms is essential.
Full job description
About the Team & Mission
42dot의 SeniorComputer Vision Engineer는 안전한 자율주행 기술들을 연구 개발합니다. 고도화된 컴퓨터비전과 기계학습 기술을 활용하여 자율주행차에서 취득되는 다양한 시각정보들을 처리하고, 사람 수준의 자율주행 인식 기능을 구현합니다.
As a SeniorComputer Vision Engineer at 42dot, you will focus on researching and developing advanced autonomous driving technologies. Utilizing sophisticated computer vision and machine learning techniques, you will process various visual data acquired from autonomous vehicles and implement human-level autonomous driving perception capabilities.
Responsibilities
자율주행 기술구현을 위한 3차원 컴퓨터비젼 및 기계학습 알고리즘 연구 개발
3D shape modeling and processing
Object pose estimation and tracking
Efficient and scalable vision
Vision and robotics
Low-level and physics-based vision
Self-supervised representation learning from large-scale unlabeled scene data
World models and closed-loop simulation for autonomous driving
Conduct research and develop 3D computer vision and machine learning algorithms for integrating autonomous driving technology
Perform 3D shape modeling and processing tasks
Implement object pose estimation and tracking algorithms
Develop efficient and scalable vision solutions
Explore the intersection of vision and robotics
Work on low-level and physics-based vision algorithms
Self-supervised representation learning from large-scale unlabeled scene data
World models and closed-loop simulation for autonomous driving
Qualifications
유관 경력 7년차 이상
컴퓨터비젼, 로보틱스, 또는 기계학습과 관련된 전공의 석사/박사 학위 이상 혹은 동등한 경력
컴퓨터비젼 및 기계학습에 대한 이론 및 실무 지식
뛰어난 프로그래밍 기술(C/C++, Python 등)
Master’s (MS) or Ph.D. in Computer Vision, Robotics, Machine Learning, or a related field
7+ years of relevant experience or equivalent practical experience
Strong theoretical and practical knowledge of computer vision and machine learning algorithms
Proficiency in programming languages such as Python and C/C++
Preferred Qualifications
자율주행 및 로보틱스 관련 연구 개발 경험
GPS, IMU, 카메라, LIDAR 와 같은 다양한 센서를 사용한 개발 경험
VR/AR 관련 어플리케이션 개발 경험
병렬 프로그래밍 및 시스템 최적화 관련 개발 경험
관련 분야 저서/학술활동 이력(CVPR, ICCV, ECCV, IJCV, TIP, TPAMI 등)
Proven experience in projects or commercial systems related to autonomous driving, robotics, or 3D vision
Hands-on experience with multi-sensor data processing and fusion (GPS, IMU, cameras, LiDAR)
Expertise in parallel programming (e.g., CUDA, OpenCL) and system optimization
Demonstrated experience in SLAM, depth estimation, 3D reconstruction, or pose estimation algorithm design
Experience in developing VR/AR applications
Strong academic background with publications in conferences/journals such as CVPR, ICCV, ECCV, TPAMI, or IJCV
Experience deploying and managing ML 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).
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.
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!
How many Science & Research jobs are open in Seongnam-si, South Korea right now?
There are currently 41 open science & research positions in Seongnam-si, South Korea listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Seongnam-si, South Korea?
Companies currently hiring include 42dot, Applied Materials, AUMOVIO, Sartorius, GE, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Seongnam-si, South Korea?
Yes — 23 of the 41 open science & research positions offer remote or hybrid work (1 remote, 22 hybrid).
How do I apply for Science & Research jobs in Seongnam-si, South Korea?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.