לוח משרות דרושים סטודנטים למדעי המחשב במרכז

We invite you to join the DP QA department responsible for high end enterprise security solutions. Our cutting edge security platforms simplify operations while ensuring resilience, efficiency, and SLA adherence.

In this role, you will take an active part in mastering our Next Generation Cyber Security products, with a strong emphasis on automation, quality engineering, and the adoption of AI driven testing methodologies.

You will work in an Agile Scrum environment within a dynamic, fast growing, and highly innovative team.

What will you do?
Planning, design, development, reporting, and analysis of manual and automation tests.
End to end testing of various DP features and components.
Building and maintaining automation frameworks for complex networking and security environments.
Utilizing AI powered tools to improve test coverage, defect detection, and root cause analysis.
Developing test insights using AI/ML models for anomaly detection and optimization of regression cycles.
Collaborating with development, QA, and data teams to integrate AI assisted automation into CI/CD pipelines.
Participating in Agile processes, contributing to test strategy and continuous quality improvement.

Required Technical Support Specialist - Student Position
Description
Come Join us as a member of the Technical Support Team and part of our Operations, where you will take part in facilitating and managing technical support and monitoring.
Main Responsibilities:
Being part of our customer facing team responsible for technical support and troubleshooting
Working in a 24/7 support hours' shifts
Gathering detailed technical information as needed and investigating issues to solve problems, evaluate and escalate priority issues as needed.
Spotting common trends and underlying problems
Providing reliable resolution of critical and high impact problems for customers
Updating self-help documents so customers/employees can try to fix problems themselves
Working closely with our developers and technical teams to solve customers problems efficiently and improve our product
Creatively suggest and build software work-around solutions, including occasional scripting/ coding and customizations
Part and full-time/ weekends position available.

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.

We are hiring a talented QA student to join our super talented QA team in Holon.

We are looking for a self-motivated individual, passionate about technology, great team player with excellent interpersonal skills

What youll do:
Planning, Design, Development, Reporting & Analysis of manual testing and automation tests.
Test current products and identifying deficiencies.
Researching issues in software through manual & automation testing.
Collaborating with Software Developers to develop solutions.
Create test plans to cover the developed features.

This role focuses on maintaining the integrity of data flows between enterprise systems. You will act as a technical bridge between business units and engineering teams, ensuring seamless integrations and rapid troubleshooting, particularly during high-stakes business cycles.
Key Responsibilities:
Technical Troubleshooting: Analyze API logs and JSON payloads to identify, debug, and resolve complex integration errors.
Cross-Functional Collaboration: Partner with Finance, Sales Ops, and technical teams to verify end-to-end data integrity.
Critical Period Support: Provide heightened technical assistance during "End-of-Quarter" windows to ensure business continuity.
On-Call Rotation: Maintain availability for weekend on-call shifts as required.

We are looking for a motivated Student to join our AI innovation team and contribute to the development of next-generation AI capabilities within our Telecom management platform.

This role offers hands-on experience in real production systems, including AI Agents, Voice technologies, and intelligent automation in a carrier-grade environment.

Areas of Involvement

The selected student will contribute to the following domains:

1 AI Agent Development

Participate in the design and implementation of AI-driven agents
Assist in developing conversational workflows for Telecom use cases
Work with LLM integrations, RAG pipelines, and tool-based AI orchestration
Support integration of AI agents into existing Network Controller platforms
Contribute to prompt engineering and evaluation of AI responses
2 AI in Voice Technologies (Speech AI)

Support the development of Voice-to-Text (Speech Recognition) capabilities
Assist in Text-to-Voice (TTS) integrations
Participate in improving the conversational voice experience
Evaluate the performance, latency, and accuracy of speech systems
Help integrate voice interfaces into Telecom management application