Research Assistant MSC/PHD Student–AI Middleware & Cloud Tech

Introduction
At our cutting-edge research lab we focus on developing innovative solutions in the realm of AI and cloud technologies. We aim to explore new horizons in AI inference tuning and Agentic AI middleware. Are you ready to tackle complex challenges and contribute to the future of AI middleware? If so let’s talk.

Your Role and Responsibilities
We are seeking talented undergraduate students to join our AI Middleware research group. You will be part of a team working on groundbreaking middleware solutions that enhance AI performance optimization and scalability. You will be exposed to Kubernetes cloud technologies and state-of-the-art AI frameworks contributing to advanced AI research projects focused on inference tuning and Agentic AI systems.

We offer:
– Opportunities to work on high-quality research projects with a world-class team.
– Exposure to the latest AI and cloud technologies in the industry.
– A collaborative and innovative research environment.

If you’re ready to push the boundaries of AI middleware research we encourage you to apply!

Required Technical and Professional Expertise
– Motivated MSC and PHD CS/CE student with strong programming and problem-solving skills.
– Knowledge of Kubernetes or other cloud-native technologies.
– Familiarity with AI and ML frameworks (e.g. TensorFlow PyTorch etc.).
– Strong ability to work independently and in a team.
-Please add your grade sheets to your application.

Preferred Technical and Professional Expertise
– Experience with cloud platforms
– Knowledge of AI middleware inference tuning or Agentic AI systems.
– Hands-on experience in Go Python or other relevant programming languages.