Vision Perception Algorithm Engineer

Job Responsibilities:

• Research in vision perception algorithms like 3D vision, VLM/VLA, Word Model, bad weather perception,
• Research, design, and implement advanced perception algorithms in one or more of the following areas:
• 3D vision (stereo vision, structure-from-motion, SLAM, LiDAR-camera fusion, depth estimation).
• Vision-Language Models (VLMs) /Vision-Language Alignment (VLA)
• World models for robotics and autonomous driving perception & prediction.
• Perception robustness under adverse weather conditions (rain, snow, fog, low-light, etc.)
• Collaborate with cross-functional teams in sensor fusion, planning, and control to deliver end-to-end solutions.
• Publish research findings, file patents, and keep track of cutting-edge academic and industrial progress in the field.
• Contribute to scalable deployment of algorithms on embedded platforms.

Job Requirements:

• Bachelor degree or above in Computer Science, Robotics, Electrical Engineering, or related field with a focus on computer vision, machine learning, or robotics perception.
• Proven expertise in one or more of the following areas:
• 3D vision (stereo, SLAM, depth estimation, LiDAR-camera fusion)
• Vision-Language Models (VLMs) / Vision-Language Alignment (VLA)
• World models (representation learning, dynamics modeling, prediction for autonomous agents)
• Adverse weather perception (domain adaptation, sensor fusion, image enhancement, etc.)
• Proficiency in programming languages such as Python,C++, and deep learning frameworks (PyTorch, TensorFlow).
• Solid publication record in top-tier conferences/journals (CVPR, ICCV, ICRA, NeurIPS, etc.) is highly desirable.
• Experience in autonomous driving (ADAS) or robotics platforms.
• Familiarity with real-time system optimization and deployment on embedded/edge hardware (GPU, TPU, NPU, ASIC, etc.).
• Knowledge of multimodal perception and sensor fusion.
• Strong problem-solving, collaboration, and innovation mindset.

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