Embedded AI Engineer Intern [IDA: 00051]
Core
Develop algorithms and systems enabling intelligent visual understanding for real-world applications, specifically focusing on object detection, tracking, and recognition for embedded systems.
Role type
Embedded AI Engineer Intern
Builds
Computer vision and perception algorithms integrated into production systems
Domain
Automotive / Embedded AI / Computer Vision
Deliverable
production ML models
Required skills
Python, C/C++, embedded software development, embedded systems (microcontrollers, embedded Linux), AI/ML fundamentals (deep neural networks, model training, inference), computer vision (image processing, object detection, feature extraction), deep learning frameworks (PyTorch, TensorFlow), model deployment pipelines, Edge AI concepts (model optimization, quantization, pruning), AI acceleration technologies (CUDA, TensorRT, OpenVINO, ONNX Runtime, NPU), embedded AI hardware platforms (NVIDIA Jetson, Raspberry Pi, STM32, ESP32, Qualcomm RB)
Responsibilities
Design, implement, and optimize computer vision and perception algorithms; Develop and test object detection, tracking, and recognition models; Conduct research on emerging computer vision methods; Experiment with novel approaches for object detection and perception; Work with large datasets to train and evaluate models; Collaborate with senior engineers to integrate vision algorithms into production systems
Seniority
Intern
