自动驾驶多模态感知算法专家_XC
Core
Design and develop perception software systems for autonomous driving ground truth, including multi-sensor fusion detection, segmentation, and tracking algorithms, as well as cloud data pipelines.
Role type
Senior IC multi-modal perception algorithm engineer (ground truth)
Builds
Perception software systems, multi-sensor fusion algorithms, tracking algorithms, and cloud data processing pipelines for ADAS ground truth.
Domain
Autonomous driving, computer vision, sensor fusion
Deliverable
production ML models
Required skills
Multi-sensor fusion detection and segmentation, tracking algorithms, deep learning frameworks (PyTorch, TensorFlow, Caffe), C/C++/Python programming, perception data mining, algorithm design and implementation
Preferred skills
DevOps tools (Git, Docker, Airflow, K8s), publications at top conferences (ICRA, IROS), perception algorithm product implementation experience
Technologies
PyTorch, TensorFlow, Caffe, C, C++, Python, Git, Docker, Airflow, K8s
Responsibilities
Design and develop ADAS ground truth system perception software; train, deploy, and develop multi-sensor fusion detection and segmentation algorithms; train, deploy, and develop tracking algorithms; develop cloud data pipeline systems; support data acquisition system integration; analyze corner cases and accident data patterns.
Seniority
Senior, hands-on IC
