Software Engineering Intern - Ecosystem Engineering - Partner Accelerators (Ra’anana office, Israel)

Job Summary Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. We strive to make software freely accessible to everyone around the world. Software developed at Red Hat runs in vehicles that landed on the moon, airlines, banks, trains, social media, health care, academic institutions, robots, and in many other places. If you’re interested, keep reading! The Red Hat Ecosystems Engineering, Partner Accelerator  team is looking for a highly motivated student who can join us in the Raanana office and who wants to gain hands-on experience with open source and Red Hat products. In this role, you will work in an environment where diverse perspectives are invited, the best ideas are valued, and people feel empowered to contribute. Freedom and courage are two of our core values, which is why you’ll need to be comfortable taking risks and exploring the unknown. But being a Red Hatter isn't just about being brave, it's also about demonstrating commitment and sticking to it. What you will do: Work collaboratively with the team across our initiatives Work with and update tasks assigned in Jira CI/CD development Partner accelerator integration with Red Hat platforms (RHEL, RHEL AI, RHOAI, RHAIIS, llm-d and OCP) Certification tool development What will you bring: Experience with GitHub/Gitlab Interest in learning new technologies; problem-solving skills. Good written and verbal communication skills in English Must be enrolled in an accredited university program in Israel during the whole duration of the internship and eligible to begin a full-time role in 2027 or 2028 Must be available for the internship from August 2026 till July 2027 The following are considered a plus: Experience in development in Python, R or Go Knowledge of containers and OpenShift or Kubernetes and cloud platforms (AWS, Azure, Google Cloud) Previous code contributions to or participation in open source projects or code samples on GitHub. Understanding of fundamental AI/ML concepts, algorithms, and techniques. Basic knowledge of data preprocessing, feature engineering, and model evaluation. Knowledge of AI frameworks  and libraries (e.g. OpenDataHub, TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, CodeFlare, Feast etc) Due to the limited number of internship opportunities and the high volume of applications, we may not be able to speak with every candidate. To maximize your chances of moving forward in the process, please ensure your CV clearly outlines your education, relevant projects (link to your Github account), and extracurricular activities. Please apply for a maximum of three internship roles that best match your interests and skills. About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40 countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not ... (truncated, view full listing at source)