Location: Netanya, Israel
Duration of the internship: 1 year
Meet the Team
You will be surrounded by passionate and creative people who are determined to redefine the security and networking industry with innovative ideas and outstanding products and services. It's a place where the best ideas are quickly transformed into products, features, campaigns, and company-wide practices.
As part of Cisco's engineering organization, we will empower you to make a difference, establish a reputation, and position yourself, your team, and the business for continued growth.
In addition to core security and networking work, this role offers a unique opportunity to contribute to Axiom Zenith, an AI-driven system designed to enhance interpersonal communication and collaboration. By integrating generative AI with cybersecurity, cloud networking, and human-centric intelligence, you will help shape a technology that improves team alignment through AI-assisted role modeling, adaptive learning, and continuous knowledge refinement.
Your Impact
As a Software Engineer Intern in the Security Policy Access (SPA) group, you will contribute to the development of our next-generation software security portfolio for enterprise and hybrid-cloud networks.
Your primary focus will be on designing, coding, and optimizing software to improve performance, availability, and scalability. At the same time, you will have the opportunity to work on Axiom Zenith, applying AI techniques to refine role-based interactions, dynamic behavioural modelling, and Distributed Supervised Training-a learning mechanism that evolves based on user interactions.
Key Contributions
Develop secure, scalable software solutions for network policy management.
Collaborate with teams to implement AI-assisted role modelling, enabling the system to analyse and adapt to user behaviours dynamically.
Integrate Distributed Supervised Training, using real-world user interactions to continuously refine the AI's dialectical skills and knowledge base.
Implement adaptive AI learning mechanisms, where role-based tendencies evolve based on probability-driven behavioural patterns.
Explore LLM integration with security policy frameworks, ensuring AI-driven decision-making aligns with cybersecurity best practices.
Requirements: Minimum Qualifications
B.A. or B.Sc. in Computer Science, Software Engineering, or a related field from a recognized university with GPA above 85, graduating in 2026. (Please attach your grade sheet when applying to expedite the recruitment process.)
Strong software development skills in Python and one of the following programming languages: Java, C++ or C#.
Strong problem-solving capabilities, with the ability to analyse complex systems and adapt AI-driven models.
Excellent English communication skills.
Preferred Qualifications
Real-world experience in developing and operating a cloud service on AWS, Azure, or Google Cloud.
Knowledge of Docker containers, microservices, and cloud-native orchestration.
Familiarity with network security protocols and architectures.
Exposure to LLMs (Large Language Models) and how they can be trained using supervised and reinforcement learning techniques.
A collaborative, proactive attitude with strong interpersonal and team communication skills.
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