Perception Machine Learning Engineer – ADAS
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The role
Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR data.
Design and implement cutting-edge deep learning models for 2D/3D object detection, segmentation, tracking, and multi-task learning.
Research and integrate BEV-based transformer models for perception tasks.
Collaborate with cross-functional teams to ensure seamless integration and robust implementation.
Test, release, and deploy perception algorithms into production programs while supporting validation on prototype and pre-production vehicles.
Propose innovative software approaches to advance future autonomous driving capabilities and contribute within agile development cycles.
Design and implement cutting-edge deep learning models for 2D/3D object detection, segmentation, tracking, and multi-task learning.
Research and integrate BEV-based transformer models for perception tasks.
Collaborate with cross-functional teams to ensure seamless integration and robust implementation.
Test, release, and deploy perception algorithms into production programs while supporting validation on prototype and pre-production vehicles.
Propose innovative software approaches to advance future autonomous driving capabilities and contribute within agile development cycles.
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