5 дней назад
Embedded AI Engineer Intern (Computer Vision)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Embedded AI Engineer Intern (Computer Vision): Developing and optimizing embedded computer vision and perception algorithms for intelligent mobility systems with an accent on object detection, tracking, recognition, and edge deployment. Focus on training and evaluating models, researching emerging methods, and integrating vision algorithms into real-time production systems.
Location: Not specified
Company
is an automotive technology and electronics company developing sensor solutions, displays, braking and comfort systems, software platforms, and assistance systems for software-defined vehicles.
What you will do
- Design, implement, and optimize computer vision and perception algorithms.
- Develop and test object detection, tracking, and recognition models.
- Research emerging computer vision methods through literature reviews and algorithm benchmarking.
- Work with large datasets to train and evaluate AI models.
- Experiment with novel perception approaches and integrate vision algorithms into production systems.
- Collaborate with senior engineers and researchers in the R&D Innovation team.
Requirements
- Familiarity with Python, C/C++, and embedded software development concepts.
- Understanding 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, image processing, object detection, and feature extraction.
- Understanding of Edge AI concepts, including quantization, pruning, model optimization, and deployment on resource-constrained devices.
- Internship-level interest in software development, research, and innovation.
Nice to have
- Experience with PyTorch or TensorFlow and model deployment pipelines.
- Exposure to CUDA, TensorRT, OpenVINO, ONNX Runtime, or NPU-based platforms.
- Familiarity with NVIDIA Jetson, Raspberry Pi, STM32, ESP32, Qualcomm RB, or similar embedded AI platforms.
Culture & Benefits
- Hands-on experience within an automotive R&D Innovation team.
- Opportunities to contribute to research and innovative system solutions.
- Practical exposure to intelligent visual understanding for real-world mobility applications.
- Collaboration with experienced engineers and researchers.
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