AI-Native Distributed Systems Intern

IBM; Town of Yorktown (NY); On-site; USD 89,000 - 164,000; Full time

Job summary

IBM Research in Yorktown Heights, NY is seeking an AI Native Systems Research Scientist Intern for 2027. You will join a team exploring AI-native distributed computing, designing and prototyping software platforms for large language models and agents, and advancing high-performance distributed inference.

As an intern, you will contribute across the full research lifecycle, from ideation to building prototypes, evaluating performance, and publishing results, with mentorship and opportunities to

Qualifications

• Pursuing a degree in Computer Science, Engineering, or related field (MS/PhD), with a focus on artificial intelligence, systems, networking, or software development.
• Background in artificial intelligence and machine learning, including areas such as deep learning, LLMs, distributed LLM inference, or agentic patterns
• Strong background in software development, including proficiency in languages such as Python, Go, C++, or Rust
• Experience with containerization using Docker, Kubernetes, or other container orchestration tools.

Responsibilities

• Design, develop, and optimize software platforms for building, deploying, and managing large language models (LLMs) and agents.
• Prototype networking for AI infrastructure and distributed inference techniques.
• Evaluate performance at scale and publish results in leading scientific venues.
• Contribute across the full industrial research lifecycle from ideation to implementation.

Skills

Python

Go

C++

Rust

AI/ML fundamentals

LLMs

Education

Bachelor's Degree

Master's Degree preferred

Tools

Docker

Kubernetes

Job description

IBM Research in Yorktown Heights, NY is seeking an AI Native Systems Research Scientist Intern for 2027. You will join a team exploring AI-native distributed computing, designing and prototyping software platforms for large language models and agents, and advancing high-performance distributed inference.

As an intern, you will contribute across the full research lifecycle, from ideation to building prototypes, evaluating performance, and publishing results, with mentorship and opportunities to