We are looking for a software student that will take part in our software projects and practical research activities.
You will have the opportunity to learn and gain experience related to many aspects of software and hardware. In addition, we encourage you to have your final academic project done here.
responsibilities:
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 Cevas DSP processors and AI accelerators.
Requirements:
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).
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).
This position is open to all candidates.
