Maintaining, updating and debugging existing software tools, primarily in Python. This part is around 70% of the expected activity.
Taking part in architectural research and development. Including: developing test cases, executing and presenting results.
Modeling, running, and analyzing AI neural networks to evaluate their behavior and performance on Ceva’s DSP processors and AI accelerators.

2nd / 3rd year student in computer science, mathematics, engineering or equivalent, with at least 3 semesters to graduation.
Strong Python programming skills – hands-on experience developing and debugging Python code.
Familiarity with AI neural networks and deep learning concepts (e.g., CNNs, Transformers), and common frameworks such as PyTorch / TensorFlow.
Ability to work in average 20-25 hours a week , while consideration is made for flexing hours during academic exam period. Working more hours during academic break periods (summer and holidays).

PythonC++TensorFlowPyTorchAIDeep LearningTransformers