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 7 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.
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