Intern 2026 AI Hybrid Cloud Platform Research S... @ IBM
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Job Details
Introduction
IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team that invents what's next in computing, focused on big, urgent, and mind-bending work that shapes generations. At IBM, passion for discovery and defining the future of tech drives problem solving and real-world impact.
Your Role And Responsibilities
The Intern 2026 AI Hybrid Cloud Platform Research Scientist will work alongside full-time researchers on designing and advancing the next generation of Hybrid Cloud AI Platforms. This role involves working on scalable machine learning systems, both in training and inference, using open-source platforms like llm-d, Kubernetes, and Kserve. Responsibilities include optimizing GPU networking, model scheduling, AI platform enhancement, performance modeling, and exploring Compound AI / Agentic systems.
- Collaborate with agile teams of researchers and engineers.
- Develop innovations in scalable GenAI systems.
- Work on research and development for cloud-native environments.
- Utilize programming languages such as Python, C++, Go, Java, or Rust.
Qualifications
Applicants should be PhD students in Computer Science, Computer Engineering, or a related discipline with a research background in systems for generative AI and experience in distributed systems or microservices for data/ML workloads. Familiarity with cloud-native platforms and proficiency in at least one programming language is required.
- Experience with open-source platforms (e.g., Hugging Face, PyTorch, DeepSpeed).
- Knowledge of serving platforms such as vllm, llm-d, and KServe.
- Research or development experience in GPU networking and performance modeling.
Key skills/competency
Hybrid Cloud, AI, Research, Scalable Systems, Kubernetes, Machine Learning, Python, Distributed Systems, Performance Optimization, Open-Source
How to Get Hired at IBM
🎯 Tips for Getting Hired
- Research IBM's culture: Study IBM's mission, tech news, and employee insights.
- Tailor your resume: Highlight hybrid cloud and AI project experience.
- Showcase technical skills: Emphasize proficiency in Python, C++, Go, Java, or Rust.
- Prepare for interviews: Practice discussing scalable systems and cloud-native platforms.