We are looking for a highly motivated AI Embedded Intern to join our team. The ideal candidate should have hands-on experience in AI model deployment on embedded systems, specifically NVIDIA Jetson platforms. This internship offers a unique opportunity to work on cutting-edge AI solutions, optimizing deep learning models, and deploying them on edge devices.
Key Responsibilities:
- Work with NVIDIA Jetson platforms for AI-based applications.
- Optimize and deploy deep learning models using TensorRT.
- Develop and fine-tune AI models using TensorFlow and PyTorch.
- Implement object detection and recognition using YOLO.
- Work on DeepStream SDK (good to have) for real-time video analytics.
- Optimize AI models for edge computing and embedded environments.
- Collaborate with the team to integrate AI models with embedded hardware.
Required Skills & Qualifications:
- Experience in deploying AI models on NVIDIA Jetson platforms.
- Proficiency in TensorRT, Deepstream, OpenVINO, TensorFlow, and PyTorch.
- Strong understanding of YOLO for object detection.
- Good to have experience with DeepStream SDK.
- Familiarity with embedded AI development and optimization techniques.
- Proficiency in Python and C++ (preferred).
- Strong problem-solving skills and ability to work in a team.
Preferred Qualifications:
- Previous experience with AI/ML projects related to computer vision.
- Knowledge of OpenCV, CUDA, and edge AI deployments.
- Understanding of real-time AI inference optimization.
What You Will Gain:
- Hands-on experience with NVIDIA Jetson and AI model optimization.
- Exposure to real-world AI deployment challenges in embedded systems.
- Mentorship from experienced AI and embedded systems professionals.
- Opportunity to work on innovative AI applications.Requisitos
- Experience in deploying AI models on NVIDIA Jetson platforms
- Proficiency in TensorRT, Deepstream, OpenVINO, TensorFlow, and PyTorch
- Strong understanding of YOLO for object detection
- Familiarity with embedded AI development and optimization techniques
- Strong problem-solving skills and ability to work in a team
Diferenciais
- Experience with DeepStream SDK
- Proficiency in Python and C++
- Previous experience with AI/ML projects related to computer vision
- Knowledge of OpenCV, CUDA, and edge AI deployments
- Understanding of real-time AI inference optimization