* Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related quantitative field.
* 3+ years of experience in AI/ML development, with a strong focus on embedded systems or edge computing (e.g. Raspberry Pi)
* Proficiency in programming languages such as Python and C++.
* Hands-on experience with deep learning frameworks like TensorFlow Lite, PyTorch Mobile, HailoRT or similar.
* Solid understanding of neural network architectures, computer vision, and/or natural language processing.
* Experience with optimizing AI models for edge deployment (e.g., quantization, pruning, knowledge distillation).
* Familiarity with various edge computing platforms and hardware accelerators (e.g., Hailo, NVIDIA Jetson, Google Coral, specialized ASICs).
* Experience with real-time operating systems (RTOS) and embedded software development is a plus.
* Strong problem-solving skills and the ability to work independently and as part of a team.
* Excellent communication and interpersonal skills.