What You’ll Do

Samsung SoC R&D Lab in San Diego is seeking talented, highly motivated individuals to join our team conducting research on cutting-edge AR/VR/XR technologies using traditional and/or deep learning methods.

In this team, you will work on algorithm research and development that can significantly enhance the ability of Samsung mobile products and platforms.  

Location: Hybrid, working onsite at our San Diego, CA office 3 days a week, with the flexibility to work remotely the remainder of your time.

Job ID: 41432

• To research and develop novel cutting-edge technologies for AR/VR/XR (e.g. 3D map building, SLAM, human pose estimation, hand pose estimation and gesture recognition, hand tracking, gaze tracking, etc.).
• To produce key intellectual property and research papers in the area of AR/VR/XR and develop prototypes.
• Prepare presentations, technical reports and patent applications that reflect the results.

What You Bring

• Bachelors with 5+ years of relevant industry experience, or Masters with 3+ years or PhD with 0 years in Electrical Engineering, Mechanical Engineering, Computer Science or related field preferred.
• Minimum 3+ years’ experience in vision SLAM/vision inertial odometry/visual odometry, computer vision, or machine learning and neural networks.
• Excellent communication and teamwork skills. Strong analytical and problem-solving skills.
• Extensive knowledge of current major algorithm framework in VO/VIO/vSLAM: ORB-SLAM, VINS-MONO, SVO, ROVIO, MSCKF etc.
• Proficient in Linux, C/C++, MATLAB, Python, OpenCV, ROS, Ceres, g2o, Eigen, popular deep learning frameworks.
• Extensive knowledge and hands-on experience in computer vision, IMU pre-integration, bundle adjustment, key frame marginalization, parameter tuning etc.
• Have the creativity and enthusiasm of invention and strive to create visual perception technology to solve practical problems. Result oriented and self-motivated.
• Ph.D. or above degree in Robotics, EE, ME, CS, or related areas with publications in highly ranked journals and conferences, e.g. CVPR, ICCV, ECCV, IROS, ICRA, NIPS, ICML, ISMAR, TPAMI, etc.
• Experience in contributing to either vSLAM/VIO/VO algorithms, deep learning architectures, hand/human pose estimation algorithms, or eye tracking algorithms.
• Engineering experiences on deploying computer vision models to embedded system.
• Extensive knowledge of SLAM system development and optimization, including Kalman/particle filtering, sensor fusion, nonlinear state estimation.
• Experience with 3D point cloud, map building or depth image processing pipeline.
• Experience with mesh constructions.
• Hands-on experience of deep learning perception algorithm is preferred.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.