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Computer Vision Engineer
Santa Clara, CA
China's largest retailer is looking for several Computer Vision Scientists to join their new team in Santa Clara, CA.
Developing and testing state-of-the-art computer vision and machine learning algorithms for mapping, localization, scene analysis, object detection and classification, object tracking, and activity recognition
Implementing robust and real-time perception solution integrating multiple sensing devices within the size, weight, and power (SWaP) constraint of the application
Prototyping hardware and software solutions for real-time robot applications
Working closely with the research team to integrate perception solutions for autonomous robotic systems.
Developing robust software and comprehensive testing protocol for all projects
Solving unique problems and work on a small, self-directed team.
MS in Computer Science, Electrical Engineering or equivalent with a focus on Computer Vision, Robotics and Machine Learning
Working experience in one or more areas of Computer Vision including 3D Mapping, Visual Odometry, Scene Analysis, 2D/3D Object Detection, Object Tracking, Object Classification, Activity Detection and Recognition
Experience with developing hardware or software solutions in machine perception for commercial or industrial applications.
Knowledge and experience with a wide variety of sensors
Strong experience with software development process including automated build and test in a test driven development environment
Ability to handle and solve complex issues in systematic and creative ways
Excellent written and oral communication skills
Proven record of innovation and delivery of results to solve real-world problems, especially in the areas of autonomous driving, drone, and warehouse robotic applications
Hands-on experience in developing and implementing real-time perception systems for robot application, especially experiences in developing autonomous ground vehicle, autonomous aerial vehicle (i.e. drone), autonomous manipulation robots and warehouse automation.
Hands-on knowledge of Deep Learning and its applications in Computer Vision.
Ability to work on challenging assignments with aggressive schedules
Strong experience of building and leading a technical team