Cloud and AI- MSc and PHD-Summer internship 2025- Research Lab

Introduction

At IBM , work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.

Your Role And Responsibilities

Do you want to work with top cloud and AI researchers?

The Hybrid Cloud Department At IBM Research Is Looking For An Outstanding Research Intern With Experience And Interest In AI And Cloud Computing And Distributed Systems. We Have a Number Of Openings In Which You Can Be a Part Of a Research Team In The Following Areas

• Solving real-world problems in managing data for Generative AI
• Building the next generation of high performance and programmable networks for the multi-cloud era
• Cloud control and management plane
• Agentic workflows
  
  

Our summer internship program offers you an opportunity to join our research team for a 3 months internship (working 5 days a week) in either Haifa or Tel Aviv sites (according to each internship). During the internship, you will be working with our talented researchers on top projects, helping create the next generation of AI, security, quantum, cloud and much more.

Required Technical And Professional Expertise

• MSC or PhD candidate from CS in advanced stages of studies, in distributed systems, data management, networking, computing architecture or related fields.
• Knowledge and preferably research experience in either: distributed computing, cloud environments, AI, operating systems, data stores.
• Experience in programming languages (e.g., Go, Python, Rust, Java, C++)
• Please add your grade sheet to your application
  
  

Preferred Technical And Professional Experience

Publication/s at top-tier peer-reviewed conferences or journals.

Experience with software development in a Linux and/or Kubernetes environment.

Basic knowledge of cloud computing concepts (microservices, service discovery, distributed coordination, load balancers, block storage services etc.)