לוח משרות דרושים סטודנטים - מדעי המחשב

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.

Do you want to help us build the DNA of tech.? we are currently seeking applicants for a Student to IT Department. In this position, you will be responsible for supporting the IT team to provides technical assistance, support, and advice internal users.
Job Location:
Dimona is located in Southern Israel in the Negev, not far from the Dead Sea area, the lowest point on earth.
What you will be doing:
Provide technical support to internal users through phone, email, and in-person communication.
Assist to install, configure, and maintain PCs, laptops, printers, and network equipment.
User support, hardware, and software installations (stationary/mobile) and troubleshooting.
System and equipment maintenance as part of the infrastructure team.
Partner in carrying out tasks and projects as part of the infrastructure team.

Be a part of QA team which tests and approve Rocotos wide variety of products - in all aspects - SW, HW, RF & system
Execute Test plans for new features and FW versions.
Write a Test plan document for new features or new products and improvements of existing features.
Analyze the system behavior and performance from log files.
Find and log bugs in a variety of the system aspects - Embedded FW, RF networks, IP networks and many more.

Software development of SAP Unified Gateway with cutting edge technologies such as Go, Docker, Kubernetes and other cloud technologies.
Work in an Agile team applying Scrum, Agile development practices and DevOps.
Be a team player, contribute to team goals by showing personal flexibility and ability to work on a range of topics.

We are looking for B.A. / B.Sc. / M.A. / M.Sc. students with at least 1.5 years (a minimum of 3 semesters) remaining in their studies, who are available to work 3.5-4 days per week. Please note that this position is not focused on Machine Learning engineering. Decision scientists Interns are highly motivated team players with strong analytical skills. Our Decision Scientists specialize in creating, driving, and executing initiatives to mitigate fraud on our companys platform and improve the experience for our companys hundreds of millions of customers while guaranteeing compliance with regulations. Our Decision Scientists specialize in analysing user behaviours, creating and leveraging advanced proprietary risk management mechanisms. as an intern, you will overcome challenges presented by big data, evolving fraud techniques, new payment technologies and human behaviour.
Job Description:
Your day to day
In your role as a Decision Scientist Intern, you will:
Master our companys data warehouse to help gain insights into consumer risk
Perform data-driven behaviour research
Transform results into business cases
Develop and own data-driven risk decision strategies to support our companys global financial business goals
Measure performance against KPIs and goals
Close collaboration with partners and stakeholders in Risk and in our company to execute our companys long-term strategy.

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.