Algorithm Student
Samsung R&D
- Where
- Tel Aviv, Israel, on-site
- Language, from the listing
- No Hebrew mentionedA missing mention doesn't mean Hebrew isn't needed. Ask if it matters to you.
- Dates
- Found 15 Oct 2026
- Last checked on the employer's site
- 2 h ago (15 Oct 2026)
- Source
- Employer career page (Comeet)
What they ask for
- M.Sc. student in Electronic Engineering, Computer Engineering, Software Engineering, Computer Science or equivalent with at least 3 semesters until graduation
- GPA 85 and above
- Excellent coding skills in C/C++ and/or Python
Nice to have
- Experience in Computer Vision and/or Image Processing
- Practical experience in Deep Learning
The full listing
Description
Samsung R&D Center is looking for Algorithm Student to join our team.
Samsung (SIRC), shaping the world of tomorrow, Today. Focusing beyond the horizon and pushing exciting developments in many key areas of technology. Samsung is creating a new era of continuous innovation, bringing value and contribution to society and creating a workplace where our employees can enjoy making the most of their talent, creativity and passion.
The team:
SIRC’s Sensor Team is a world class R&D group that specializes in building the next generation of cameras for the mobile, automotive and consumer markets.
The sensor algorithms group is leading the design and implementation of cutting-edge image processing and computer vision solutions aiming at improved quality and extended capabilities of image sensors.
What will you do?
Join a team of professional experts in image processing and computer vision.
Pursue solutions to real world problems using state-of-the-art image processing and computer vision techniques.
Take an active role in the development cycle of the product from idea to silicon.
Requirements
• M.Sc. student in Electronic Engineering, Computer Engineering, Software Engineering, Computer Science or equivalent with at least 3 semesters until graduation
• GPA 85 and above
• Excellent coding skills in C/C++ and/or Python
Advantage
• Experience in Computer Vision and/or Image Processing
• Practical experience in Deep Learning