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!
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!
Requirements:
Required education: Bachelor's Degree
Preferred education: Master's Degree
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 experience
– 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.
Required education: Bachelor's Degree
Preferred education: Master's Degree
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 experience
– 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.
This position is open to all candidates.
