Driving道路元素感知算法工程师_XC
Core
Design, implement, and optimize perception algorithms for lane boundaries, road edges, markers, and centerlines to enhance stability in mapless driving scenarios.
Role type
Machine Learning Engineer (Autonomous Driving Perception)
Builds
Perception models for lane-boundary, road-edge, marker, and centerline detection
Domain
Autonomous Driving / Computer Vision
Deliverable
production ML models
Required skills
Machine Learning, Computer Vision, BEV Perception, End-to-End Autonomous Driving, Python, C++
Preferred skills
Project experience or internship in related fields
Technologies
BEV, End-to-End frameworks
Responsibilities
Develop models for challenging scenarios (high curvature, rain, night), optimize model design (temporal, merging), track state-of-the-art algorithms
Seniority
Junior to Mid-level, hands-on IC
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