לוח משרות דרושים סטודנטים למדעי המחשב בשרון

We are looking for a graduate student of computer sciences or electrical engineering to support research work for next generation architectures of networking. In this role, you will explore and analyze new advancements of computer architectures and participate in building innovative new architectures.
Responsibilities:
- Assist in research of innovative computing and network architectures
- Analyze performance bottlenecks and architectural strengths and weaknesses
- Develop new ideas for implementation by product lines.

Our team researches and develops a real-time parallel and distributed computing software infrastructure, which is used for the research, development and prototype of wireless signal processing algorithms (6G) with strict real-time constraints. We are looking for an outstanding student, who will take part in the research, architecture design, implementation and real-time performance optimization of the system.

The Algo Data Science team develops and integrates sophisticated AI systems and advanced data frameworks to improve data usage in training for several features. We are using the most advanced technologies including Large Language Models, Foundation Models and intelligent agents into our technologies and workflows.
We are looking for an outstanding student to help improve our data infrastructure for efficient and advanced training for the Depth Sensing group. If you are excited about the intersection of LLMs, intelligent systems, and data, this role will challenge you.

In this role, you will join a team of researchers and engineers developing smart solutions for data handling during training, validation and evaluation to improve the performance of models and complicated systems for cutting-edge our products.
You will contribute to the entire system lifecycle from data retrieval to automation of pipelines and models success for depth and 3D applications.

Responsibilities:
Develop scalable frameworks for efficient data usage and processing pipelines.
Create innovative tools to analyze and enhance model performance.
Build and maintain automated data pipelines for training, validation, and evaluation workflows.
Implement version control best practices and contribute to collaborative codebases.
Collaborate cross-functionally with researchers and engineers from multiple teams.
Research and develop frameworks for advanced filtering and anomaly detection.
Optimize data storage and retrieval systems for large-scale ML workflows.

the industry leader in the web data domain, is looking for students for a part-time Deploy position!
The position is part-time, in shifts that include nights and weekends.
Responsibilities:
Monitor and support company servers in Linux
Release new features and updates on the server
QA (manual)

We are looking for a graduate student of computer sciences or electrical engineering to support research work for next generation architectures of networking. In this role, you will explore and analyze new advancements of computer architectures and participate in building innovative new architectures.
Responsibilities:
- Assist in research of innovative computing and network architectures
- Analyze performance bottlenecks and architectural strengths and weaknesses
- Develop new ideas for implementation by product lines.

Our team researches and develops a real-time parallel and distributed computing software infrastructure, which is used for the research, development and prototype of wireless signal processing algorithms (6G) with strict real-time constraints. We are looking for an outstanding student, who will take part in the research, architecture design, implementation and real-time performance optimization of the system.

We are looking for a talented Student Security Developer to join our team and contribute to developing core capabilities such as:
Large-scale malware analysis platforms that support on-demand malware execution and behavior monitoring.
Crawlers to identify emerging malware in the wild and perform malware behavior analysis.
Collaboration with OS internals experts, security researchers, and data scientists to research and implement advanced cybersecurity capabilities.
This is an exciting opportunity for a student to dive into the cybersecurity profession while gaining hands-on experience in cutting-edge technologies during their studies.
Responsibilities
Develop features autonomously, from ideation to production.
Collaborate with data scientists and security researchers to implement malware detection mechanisms.
Assist in designing and guiding performance, operational, and testing phases.