Computer Vision Engineer

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

• Minimum of 5 years of relevant experience
• 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
• Excellent programming skills (C/C++, Python, etc.)

Preferred Qualifications

• 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)

Interview Process

• Application Review - Coding Test - 1st Interview - 2nd Interview - Offer
• The process may vary by position and is subject to change
• Schedule and results will be communicated via the email provided in your application