Embedded Systems Developer: Real-time Subject Segmentation
2 settimane fa
Embedded Systems Developer Opportunity at Fondazione Bruno Kessler
This internship at Fondazione Bruno Kessler's DigiS research center, specifically within the E3DA research unit, focuses on developing real-time subject segmentation systems for small embedded devices. The selected candidate will work on leveraging state-of-the-art generative models for efficient segmentation on platforms like Nvidia Jetson, Raspberry Pi, and custom AI accelerators.
Key Responsibilities:
- Research and explore state-of-the-art deep learning approaches for image segmentation
- Develop and train deep learning models using TensorFlow or PyTorch
- Optimize the trained models for deployment on embedded devices with limited computational resources
Requirements:
- Knowledge of machine learning, deep learning, and computer vision
- Programming languages: Python and C/C++
- Experience with deep learning frameworks like TensorFlow or PyTorch
- Familiarity with embedded systems and hardware platforms is a plus
We Offer:
- Curricular internship (no allowance)
- 3-6 months, depending on the candidate's needs and preparation
- Canteen (except for UniTN students)
- Support for the search for accommodation at the affiliated structures (no allowance)
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