Architecture software tools developer student
פורסם לפני 3 ימים · 0 מועמדים
התפקיד במילים פשוטות
התפקיד כולל תחזוקה, עדכון וניפוי שגיאות של כלי תוכנה קיימים, בעיקר בשפת Python. בנוסף, העבודה כוללת השתתפות במחקר ופיתוח ארכיטקטוני, וכן מידול, הרצה וניתוח של רשתות נוירונים עבור מעבדי ה-DSP ומאיצי ה-AI של החברה.
- 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 frameworks such as PyTorch / TensorFlow
- Ability to work an average of 20-25 hours a week
- C/C++ knowledge
- Strong mathematical capabilities
- Algorithmic or numerical project experience
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים לסטודנטים בשנה ב' או ג' במדעי המחשב, הנדסה או תחום מקביל, עם ניסיון מעשי ב-Python והיכרות עם למידת עמוקה. התפקיד פחות מתאים למי שלא יוכל להתחייב להיקף עבודה ממוצע של 20-25 שעות בשבוע.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןBack to careers
Description
About the Architecture Unit:
Ceva’s architecture team defines the company’s future DSP processors and AI accelerators. Architecture team is a small team of highly experienced engineers in various areas working in synergy.
About The Role
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 Ceva’s 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).
Advantages
• C/C++ knowledge.
• Strong mathematical capabilities.
• Algorithmic or numerical project.
Please submit also grade sheet.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- 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 frameworks such as PyTorch / TensorFlow, Ability to work an average of 20-25 hours a week