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As a Software Engineer Intern in the MSC IL AI Innovation team, you will contribute to the design, development, testing, and delivery of AI-powered features and services for our Specialized Clouds organization. You will work with mentors and engineering team members to build reliable, secure, and responsible software, while learning modern AI engineering practices across prompts, retrieval, agents, evaluation, observability, and cloud-native development.

This internship is designed for entrepreneurial, creative, and highly motivated students who are passionate about building AI-native products, taking ownership in ambiguous 0 to 1 environments, and using AI throughout the engineering lifecycle to solve complex, high-impact problems in sovereign and regulated cloud environments.


Responsibilities
Develop, test, debug, and maintain software components for AI-powered products, services, or internal tools.

Contribute production-quality code that is maintainable, secure, performant, and aligned with team standards.

Partner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.

Contribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.

Help define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.

Investigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.

Learn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.

Document work clearly and share implementation details with team members to support continuity and knowledge sharing.

Collaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.

Required Fraud Analyst - Student position
Israel, Petah Tikva
We are the worlds leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.
Trusted by some of the worlds most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victorias Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.
Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. Were a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.
This is a student position - working in shifts with high flexibility (both from the office and from home)
Responsibilities:
Conduct risk assessments and manual reviews for online e-commerce transactions
Build, design and improve fraud prevention strategies and mechanisms
Identify and analyze fraudulent patterns and anomalies via data analysis.

We are looking for a NOC Engineer to join our growing TechOPS team.
The position consists of 4 shifts a week on nights and weekends in our R&D Center in Petach Tikva.
This position provides a great opportunity to enter the high-tech world and relevant for for students and graduates of technical degree or equivalent experience.
Responsibilities include debugging complex technical issues, investigating logs, writing SQL queries and monitoring our services.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we are seeking a motivated Physical Design Student to join our founding local engineering team.
This is a unique opportunity to kickstart your career in the semiconductor industry. Working alongside senior industry veterans, you will gain hands-on experience in backend execution and advanced methodologies for cutting-edge chips that power the world's largest AI clusters. If you are passionate about silicon hardware, eager to learn, and thrive on solving complex engineering challenges, this role offers the perfect bridge between your academic studies and a high-impact career.
Key Responsibilities
Guided Implementation & Learning
Partner with and learn from senior engineers to support the physical implementation journey, including synthesis, floorplanning, Place & Route (P&R), and Clock-Tree Synthesis (CTS)
Assist in macro-level implementation and develop hands-on skills in complex layout routing
Participate in deep-submicron process challenges under close professional mentorship
Signoff & Design Integrity Support
Assist in running engineering checks for design integrity, including Static Timing Analysis (STA), Physical Verification (DRC/LVS), and Reliability analysis (EMIR)
Learn to apply Logic Equivalence Checking (LEC) to help guarantee design correctness
Gain exposure to the rigorous flows required to ensure first-pass silicon success
Scripting & Cross-Functional Collaboration
Leverage and develop scripting tools to automate repetitive tasks and optimize the engineering environment
Collaborate with Architecture, Design, and DFT teams to understand how different chip design disciplines intersect
Actively participate in team reviews and technical discussions to ramp up backend methodologies.

For our Cyber Security solutions and attack mitigation business, 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.