Job Qualification
Job Description
The candidate is primarily responsible for using sensor and lidar data to develop advanced algorithms and deep learning solutions for autonomous driving and ADAS applications. The candidate will use deep learning methods to develop data-derived/trained algorithms (models) and incorporate into the AI microprocessors. The specific job duties include: 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. Conduct R&D, stay updated with the latest research, and propose innovative ideas. Contribute to patent applications and publish research papers.
Apply to: Black Sesame Technologies Inc., 2290 N 1st St #100, San Jose, CA 95131, Attn: HR
