Position Overview:
In this role, you will be responsible for developing cutting-edge deep learning-based perception algorithms and advancing the state-of-the-art in computer vision. Your expertise in algorithm development and optimization will contribute to our mission of delivering innovative solutions in the field of AI perception.
Responsibilities:
- Design and implement advanced algorithms for various vision tasks, including object detection, lane detection, segmentation, and depth estimation. Enhance the accuracy and robustness of our perception systems.
- Research and propose novel network architectures and training methodologies to improve the performance of our vision models. Design efficient and effective networks for vision problems.
- Optimize deep neural networks to meet the computational and memory constraints of ASIC platforms. Apply network compression techniques for efficient deployment in resource-limited environments.
- Continuously explore the latest advancements in deep learning and computer vision literature. Bring innovative ideas to the team and contribute to the evolution of our perception algorithms.
- Contribute to our intellectual property portfolio by publishing patents and research papers. Share findings and insights with the scientific community to establish our leadership in AI perception.
Qualification/ Requirements:
- MS/Ph.D. in computer science, electrical engineering, or equivalent.
- Research and development experience in one or more of the following areas:
- Deep network development, particularly with visual data.
- Object detection and tracking.
- Stereo/optical flow/depth estimation.
- Multi-view geometry and 3D computer vision.
- Structure from motion.
- Network compression and optimization.
- Network-based sensor fusion.
- Mathematical optimization.
