We are looking for the best As a Computer Vision Research 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
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
Qualifications
A minimum of 5 years of relevant experience (PhD candidates nearing graduation may apply)
Master's or PhD degree, or equivalent experience, in computer vision, robotics, or machine learning, or a related field
Theoretical and practical knowledge in computer vision and machine learning
Research and development experience in autonomous driving and robotics
Experience with development using various sensors such as GPS, IMU, cameras, and LIDAR
Experience in developing VR/AR applications
Development experience in parallel programming and system optimization
Published works and academic activities in related fields (e.g., CVPR, ICCV, ECCV, IJCV, TIP, TPAMI)
Please refer to the videos from KCCV 2022 and UMOS Day 2021 for insights into 42dot Autonomous Driving, our autonomous driving AI software. Please upload all submission files in PDF format. ※ Please review the following information before applying. ㆍHow to work in 42dot, About 42dot Way →ㆍ42dot's Employee Engagement Program, About Employee Engagement Program →
