Sr. Engineer, Algorithm
Education Requirements:
Master’s degree in Electrical and Computer Engineering, Computer Science, or related field.
Experience Requirements:
Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.
Design and evaluate cutting-edge network structures and data training methods for vision tasks.
Implement network compression and quantization-aware data training to optimize models for ASIC hardware deployment.
Other Requirements:
Conduct prototype development, regression testing, benchmark testing, and performance evaluation.
Prepare demos to showcase model performance and deploy solutions on embedded platforms.
Conduct R&D, stay updated with the latest research, and propose innovative ideas.
Contribute to patent applications and publish research papers.
Responsibilities:
Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.
Design and evaluate cutting-edge network structures and data training methods for vision tasks.
Implement network compression and quantization-aware data training to optimize models for ASIC hardware deployment.
Conduct prototype development, regression testing, benchmark testing, and performance evaluation.
Prepare demos to showcase model performance and deploy solutions on embedded platforms.
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