嵌入式人工智能工程师实习生（IDA: 00051）

Responsibilities

• Assist in designing, implementing, and optimizing computer vision and perception algorithms.
• Develop and test object detection, tracking, and recognition models using state-of-the-art techniques.
• Research emerging computer vision methods, including literature review and benchmarking of new algorithms.
• Experiment with new object detection and perception approaches.
• Use large datasets to train and evaluate models.
• Collaborate with senior engineers and researchers to integrate vision algorithms into production systems.

Must Have

• Familiarity with programming languages such as Python and C/C++ and embedded software development concepts.
• Knowledge of embedded systems, including microcontrollers, embedded Linux, hardware/software integration, and real-time systems.
• Understanding of AI/ML fundamentals, including deep neural networks, model training, inference, and performance evaluation.
• Exposure to computer vision and perception systems, including image processing, object detection, and feature extraction techniques.

Preferred

• Familiarity with deep learning frameworks such as PyTorch or TensorFlow and experience with model deployment pipelines.
• Understanding of edge AI concepts, including model optimization, quantization, pruning, and deployment on resource-constrained devices.
• Exposure to AI acceleration technologies such as CUDA, TensorRT, OpenVINO, ONNX Runtime, or NPU-based platforms.
• Familiarity with embedded AI hardware platforms such as NVIDIA Jetson, Raspberry Pi, STM32, ESP32, Qualcomm RB platforms, or similar edge computing devices.