<h2>직무</h2><p>Algorithm Engineer, 3D Computer Vision(Seoul)</p><h2>포지션 상세</h2><p>[About STRADVISION] <br>We Empower Everything To Perceive Intelligently <br>With a mission statement of “We Empower Everything To Perceive Intelligently”, STRADVISION is putting all of our effort to make better life for everyone through AI-based camera perception technology. Everyday, we focus on creating AI-based vision perception techonolgy with more than 300 members across 8 offices worldwide and we expect our software to perceive everything precisely & intelligently to make 1% difference in people’s lives. Thus, we are looking for members who would like to join our meaningful journey and face challenges that no one has done it before together at STRADVISION. <br><br>[Our Story]<br>• STRADVISION 서울오피스 소개영상: https://www.youtube.com/watch?v=UrTrQ8_JxU0<br>• STRADVISION’s Latest Technology 영상: https://www.youtube.com/watch?v=wDPjUwim6mk&t=42s<br>• STRADVISION Re-branding PR 홍보영상: https://www.youtube.com/watch?v=fRnzeMJu4Yg<br> <br>[Our Technology]<br>• STRADVISION is the FIRST deep-learning based technology start-up company in the world who has obtained ASPICE CL2 certification in 2019.<br>• STRADVISION has also been honored with the AutoSens Awards for ‘Best-in-Class Software for Perception Systems’(Gold Award Winner) for 2 years in a row(2021, 2022). <br>• STRADVISION’s outstanding technology was recognized worldwide by successfully completing the Series C funding at KRW 107.6 billion with Aptiv and ZF Group in August, 2022.<br>• About 167 patents related to autonomous driving/ADAS have been acquired in Korea, Japan, US and Europe. As of today, STRADVISION is actively developing our technology to be differentiated. <br>• STRADVISION Product: https://stradvision.com/sv/en/product</p><h2>주요업무</h2><p>[Mission of the Role] <br>• You will be responsible for the development and performance improvement of camera pose estimation pipelines from state-of-the-art static target calibration to real-time dynamic camera pose estimation methods. At your arrival, you will start by designing, developing, and implementing cutting-edge Target-based vehicle-to-camera extrinsic calibration algorithms and/or Targetless online, real-time vehicle-to-camera extrinsic calibration methods for automotive camera systems used in ADAS (Advanced Driver Assistance Systems) for StradVision’s FrontVision Product, SurroundVision Product, and MultiVision Product. This includes creating camera-based perception software for both mono cameras and multi-cameras, handling 2~3MP resolution cameras, and 8MP resolution cameras, and spanning the range from ADAS Level 2 to Level 4. Your work will directly contribute to enhancing the safety and performance of vehicles equipped with ADAS technology.<br><br>[Key Responsibilities]<br>• Algorithm Development<br> • Collaborate with senior/lead engineers to design, implement, and test camera calibration (camera pose estimation) algorithms and provide technical guidance on calibration methods and tools.<br> • Develop, implement, and optimize intrinsic and extrinsic camera calibration methods.<br> • Lead efforts in target-based extrinsic calibration and targetless on-road extrinsic calibration for vehicle systems.<br> • Design and refine calibration algorithms using tools such as Polynomial, Distortion, OpenCV, and other relevant frameworks.<br> • Research and implement advanced techniques for online and on-road calibration.<br> • Oversee the integration of calibration solutions into production and service environments.<br> • Define processes for first extrinsic calibration post-installation, considering scenarios like windshield or camera changes.<br> • Develop ego-motion compensation strategies to manage dynamic changes in extrinsic calibration angles (e.g., driving over bumps, suspension shifts).<br> • Optimize an algorithm and collaborate with cross-functional teams to ensure real-time performance on an embedded device under varying conditions.<br>• Testing and Validation Responsibilities<br> • Conduct rigorous testing and validation of camera pose estimation algorithms using real-world and simulated data.<br> • Identify and address algorithm performance issues and anomalies.<br>• Documentation<br> • Maintain detailed documentation of algorithms, methodologies, and test procedures.<br>Create user manuals and documentation to facilitate algorithm integration by other teams.<br>• Collaboration<br> • Collaborate with cross-functional teams, including machine learning engineers, software integration engineers, hardware platform engineers, and quality assurance, to integrate camera pose estimation algorithms into ADAS systems.<br> • Participate in code reviews and knowledge-sharing sessions to foster a collaborative work environment.<br>• Mentoring and Technical Guidance<br> • Mentor and provide technical guidance to junior/entry engineers.</p><h2>자격요건</h2><p>[Basic Qualifications] <br>• Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related filed at least 5~7 years of industry experience<br>• Excellent oral/written communication skills and good teamwork spirit<br>• Excellent C/C++/Python programming skills<br>• Deep understanding of intrinsic/extrinsic calibration methods and 3D computer vision fundamentals such as Multiple-View Geometry.<br>• Experience with camera calibration with static target-based calibration, online camera calibration, or equivalent methods.<br>• Proficiency in tools and libraries like OpenCV, Polynomial models, and distortion correction techniques.<br>• Experience with on-road calibration techniques and dynamic compensation algorithms is a plus.</p><h2>우대사항</h2><p>[Preferred Qualifications] <br>• PhD in Computer Science or Electrical Engineering, Robotics, or a related filed with at least 7+ years of industry (ADAS, AD) experience, especially sensor calibration<br>• Excellent foundation in computer vision, and in particular 3D geometric computer vision including SLAM, Structure-from-motion, Multiple-view geometry, pose estimation<br>• Excellent mathematical fundamentals including linear algebra, computational geometry, vector calculus, probability theory, and numeric optimization<br>• Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.<br>• Strong programming skills in Python, C++, or similar languages.</p><h2>혜택 및 복지</h2><p>• [근무제도] 자유출근제, 재택근무제, 최고사양 PC장비 및 인체공학적 의자 제공<br>• [생활지원] 전직원 상해/실손보험, 종합 건강검진, 경조금<br>• [교육지원] 도서/교육/세미나/컨퍼런스 참석지원</p>
