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XM Cyber is a leading hybrid-cloud security company revolutionizing the way organizations manage cyber risk. We provide cutting-edge exposure management solutions by simulating real-world attack paths across cloud and on-prem environments. Our technology identifies misconfigurations, vulnerabilities, and identity exposures, allowing organizations to remediate risks with minimal effort We are looking for a brilliant, hands-on Technical Demo Intern to own the evolution and reliability of our core company demo environment. In this role, you will be the bridge between engineering, product, and sales engineering, ensuring our demo platform seamlessly integrates cutting-edge features while reliably showcasing complex, real-world attack flows. Responsibilities:
* AI-driven research: use LLMs and AI tools to find better ways to explain and fix complex security issues. Use Python to analyze datasets and benchmark prompt performance to ensure AI accuracy in security contexts. Rapid Prototyping: Build functional Proof of Concepts (POCs) for AI Agents that automate complex security workflows. This includes enhancement to server-side attack simulation logic using Node.js, MongoDB.
* Work with Python and Node.js to develop innovative security solutions.
* Translate new cloud attack techniques into logic that our AI can simulate and explain.
* Collaborate with the development team to maintain and improve existing AI infrastructure.

Required Software Intern (Malshab)
As a Software Intern (Malshab), you will:
Take a central role in advancing the features and infrastructures of one of our core products
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows while finding and implementing creative solutions.

As a Security Research Intern in the Autonomous Attack Disruption team, you will join the frontlines of our Defenders mission to stop attacks in near real-time. Under the mentorship of experienced researchers, you will analyze real-world attacker TTPs (Tactics, Techniques, and Procedures), reasoning over large-scale datasets to write logic that autonomously identifies and disrupts attackers before they can achieve their objectives. You will investigate nation state attacks, from triage through full investigation to identify gaps in our detection and autonomous protection, extracting relevant TTPs and identifying new techniques used by nation state.

This role requires threat research expertise, attack investigation and analysis capabilities, with specific focus on sophisticated threats. This is your chance to identify the next nation state attack, and see your research findings transformed into live defense logic that protects millions of users. For doing that - you'll use all of reach data and platforms - frontier AI tools and flows to also build methodologies and tools to improve and automate invesitigation research.

Responsibilities
Investigate real-world nation state attacks to support the development of high-fidelity protection logic across complex cross-domain kill-chains.

Apply security expertise to analyze massive telemetry sets using big-data query languages (KQL), reasoning over data to identify novel malicious patterns and engineer evidence-based detection rules.

Contribute to the implementation and coding of automated capabilities that autonomously investigate nation state threats, using AI assisted tooling and agentic flows.

Assist in the refinement of protection coverage by analyzing real-world attack telemetry to improve the accuracy and performance of existing detection logics.

Contribute to a strategic feedback loop by documenting findings from attack data analysis to improve overall protection logic and system-wide security posture.

Partner with engineering and product teams to translate research insights into production-ready code, helping to validate protection concepts and ship them at a global scale.

Are you a Masters or PhD student interested in a 2026 Internship in Data Science? If so, we want to hear from you!

We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment and is comfortable owning data to drive step-change innovation in the EMEA region or worldwide.

As a Data Science Intern, you will have the following key job responsibilities:
Work closely with scientists and engineers to develop new algorithms to implement scientific solutions for our problems.
Design, run, and analyze A/B tests.
Work on an interdisciplinary team on customer-obsessed research.
Experience our customer-focused culture.
Create and deliver projects that can be quickly applied starting locally and scaled to EMEA/worldwide.
Create and share data with audiences of varying levels technical papers and presentations.
Define metrics and design algorithms to estimate customer satisfaction and engagement.

DFT Intern - ASIC Student - Israel - ETR
Job Description
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a representative may contact you directly if a relevant position opens.
Who We Are
The Design for Test (DFT) team is part of the design group, which focuses on logic design, RTL development, and running verification tests. Their main role is to design test structures embedded within the chip to ensure proper functionality after manufacturing. The goal is to detect potential manufacturing defects with maximum efficiency and filter out faulty units before they reach the market.
The ideal candidate is friendly, social, easygoing, with a good sense of humor, and has the ability to learn independently. They should be located in central\north Israel (Tel-Aviv\Caesarea). Strong independent work skills and job stability are important.
What You'll Do
Work in a small, agile team with an intimate atmosphere that offers direct mentoring and broad professional growth. Insert DFT logic, perform synthesis, and run Automatic Test Pattern Generation (ATPG) to ensure hardware testability. Execute Gate Level Simulations, timing checks, and DRC checks to maintain rigorous design integrity and performance standards. Run regressions and perform deep-dive debugging on simulation failures as part of the core verification process.