<h2>직무</h2><p>Senior VSLAM Engineer (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>• We are seeking a highly experienced Senior VSLAM Engineer with a strong background in the automotive industry. The ideal candidate will have more than 8 years of experience and deep expertise in VSLAM, functional safety (ISO 26262), and ASPICE. This role will be responsible for developing and optimizing visual simultaneous localization and mapping (VSLAM) solutions for automotive applications, ensuring compliance with industry standards, and collaborating with cross-functional teams to integrate cutting-edge localization technologies into autonomous and ADAS systems.<br><br>[Key Responsibilities]<br>• Develop, implement, and optimize VSLAM algorithms for real-time vehicle localization and mapping.<br>• Ensure ASPICE compliance in the development of perception and localization software.<br>• Work on functional safety (ISO 26262) requirements and contribute to safety-critical system design.<br>• Integrate sensor fusion techniques, including camera, LiDAR, IMU, and GPS, to enhance localization accuracy.<br>• Optimize SLAM performance for real-time and embedded systems with a focus on computational efficiency.<br>• Work closely with software, perception, and hardware teams to ensure seamless VSLAM integration.<br>• Conduct validation and testing of VSLAM algorithms in simulated and real-world environments.<br>• Stay updated on the latest advancements in VSLAM, machine learning, and AI-based perception technologies.</p><h2>자격요건</h2><p>[Basic Qualifications] <br>• 8+ years of experience in computer vision, SLAM, or localization, preferably in the automotive industry.<br>• Strong expertise in VSLAM algorithms such as feature-based and direct SLAM methods.<br>• Experience with functional safety (ISO 26262) and ASPICE processes.<br>• Proficiency in C++ and Python for algorithm development and optimization.<br>• Hands-on experience with OpenCV, Ceres-Solver, GTSAM, G2O or related frameworks.<br>• Knowledge of sensor fusion techniques and experience working with automotive sensors (camera, LiDAR, IMU, GPS).<br>• Experience in real-time embedded systems and hardware acceleration (DSP, NEON, ARM) is a plus.<br>• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.</p><h2>우대사항</h2><p>[Preferred Qualifications] <br>• PhD or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.<br>• Experience in deep learning-based localization and perception.<br>• Knowledge of AUTOSAR and embedded software development. <br>• Experience with CNN-based deep learning for computer vision and perception tasks.<br>• Previous work on autonomous driving or ADAS projects.</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>
