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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.

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 embedding AI-driven capabilities across its insurance pricing and rating platform. To accelerate this, we are looking for a student with a strong analytical and mathematical background who can serve as a bridge between the theoretical foundations of our algorithms and their implementation in production code. This role offers a unique opportunity to bridge the gap between the theoretical foundations of our company's algorithms and their implementation in production code. You will create AI-powered skills and knowledge bases that enable developers to understand what specific functions do, how they relate to the underlying mathematics, and how they connect to the broader algorithmic pipeline. Youll work on cutting-edge projects involving LLMs, agentic capabilities, and structured knowledge management - solving complex, real-world challenges while making a tangible impact on the evolution of our AI products.
?What youll do: Review and interpret theoretical and mathematical descriptions of algorithms used in the company platform (e.g. GLMs, gradient boosting, optimization routines, rating engines) and map them to corresponding functions, classes, and modules in the codebase. Author structured AI skills (prompt-based documentation packages) that allow an AI assistant to explain to a Developer what a given function does, its mathematical basis, inputs, outputs, and role in the end-to-end process. Create and maintain a structured knowledge base linking mathematical specifications to code artefacts, ensuring it is accurate, testable, and maintainable as algorithms evolve. Optimize, evaluate, and refine AI solutions to enhance performance, accuracy, and efficiency of generated explanations. Expand training and testing data for AI skills, leveraging both hand-crafted and automated examples. Identify gaps where code behavior diverges from or extends the documented theory, and address challenges in AI architecture scalability and reliability. Support the wider AI enablement program by contributing to prompt engineering, testing, and iteration of AI-powered Developer tools.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

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.

which department will you join?
the assembly department is responsible for assembling all the company's products.
we receive kits for assemblies from the warehouse and at the end of the process we release complex and tested products to the following stations.
in our department, an acceptance TEST is performed for hardware received from suppliers (qat).
we provide hardware repair support to all our lab employees and external customers (rma).
we provide support for prototypes of systems in development. what will your job look like:
perform acceptance tests for hardware received from suppliers (qat).
provide hardware repair support to all our lab employees and external customers (rma).
provide support for prototypes of systems in development.

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 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.

Join the Digital Manufacturing Innovation and Research Artificial Intelligence team and immerse yourself in the groundbreaking of Generative Artificial Intelligence within a global enterprise. As a student intern, you will have the opportunity to explore, prototype, and evaluate advanced Generative Artificial Intelligence technologies that are transforming the way software is built and how large‑scale innovation takes place. You will work on real Generative Artificial Intelligence challenges, learn directly from experienced Artificial Intelligence engineers and researchers, and enjoy the freedom to experiment and push boundaries. This is a high‑impact, high‑learning environment with no busy work, only meaningful contributions from the very first day.
Responsibilities:
Research and experiment with Generative AI technologies (LLMs, RAG, Agents, MCP).
Build Proofs of Concept to validate GenAI ideas and tools.
Evaluate third-party GenAI tools and developer assistants.
Support AI4SDLC initiatives (code generation, review, testing, documentation).
Share findings through demos, documentation, and internal communities.

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