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42dot의 Senior Computer 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 Senior Computer 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

• 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.

• Resume Screening - Coding Test - Virtual Interview (approximately 1 hour) - Onsite or Virtual Interview (approximately 3 hours) - Final Offer

• Please note that the interview process may vary depending on the position and is subject to change based on scheduling and other circumstances.

• Interview schedules and results will be communicated individually via the email address provided in your application.

Additional Information

• 모든 제출파일은 PDF 양식으로 업로드를 부탁드립니다.

• 국가보훈대상자 및 취업보호대상자는 관계법령에 따라 우대합니다.

• 장애인 고용촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.

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

• 3개월의 수습기간이 적용될 수 있습니다.

• Please upload all required documents in PDF format.

• 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.

• A 3-month probationary period may apply.

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※ Please make sure to review the information below before applying.

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