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Senior Perception Engineer, Autonomous Driving
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The role
Design and implement end-to-end perception and autonomous driving stack solutions for road network detections across diverse driving environments.
Lead applied research and development of deep learning models for lane graph construction, road boundary detection, and traffic element recognition.
Develop generalizable approaches to support multiple Operational Design Domains (ODDs) and country/region expansion.
Drive data-driven development by coordinating with large data collection and labeling teams, prioritizing data value, labeling efficiency, and data augmentation.
Leverage simulation and augmentation to address extreme scenarios and improve robustness and coverage.
Productize perception capabilities by meeting safety, latency, and software robustness requirements for real-time deployment on embedded platforms; demonstrate strong technical leadership and collaboration.
Lead applied research and development of deep learning models for lane graph construction, road boundary detection, and traffic element recognition.
Develop generalizable approaches to support multiple Operational Design Domains (ODDs) and country/region expansion.
Drive data-driven development by coordinating with large data collection and labeling teams, prioritizing data value, labeling efficiency, and data augmentation.
Leverage simulation and augmentation to address extreme scenarios and improve robustness and coverage.
Productize perception capabilities by meeting safety, latency, and software robustness requirements for real-time deployment on embedded platforms; demonstrate strong technical leadership and collaboration.
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