About the role#
This is a research internship focused on AI-native distributed systems. You will join the IBM Research team to work on the next generation of computing technologies. The role involves the full industrial research lifecycle, from formulating novel ideas to building prototypes and publishing results in scientific venues.
What you'll do#
- Design and optimize software platforms for building, deploying, and managing LLMs and agents.
- Develop frameworks and infrastructure to support the end-to-end AI lifecycle.
- Build and prototype networking solutions for AI infrastructure, including RDMA over Ethernet.
- Work on high-performance distributed inference for LLMs.
- Evaluate system performance, scalability, and resiliency at scale.
- Define principles and methodologies for AI-native software development.
What you'll need#
- Currently pursuing an MS or PhD in Computer Science, Engineering, or a related field.
- Proficiency in Python, Go, C++, or Rust.
- Experience with containerization tools like Docker or Kubernetes.
- Background in AI and machine learning, specifically deep learning, LLMs, or agentic patterns.
- Knowledge of distributed systems design and implementation.
- Understanding of cloud or data center networking, Software-Defined Networking, or Linux networking.
- Experience with AI platforms and frameworks.
Location & details#
- Location: Yorktown Heights, New York.
- Term: Summer 2027.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: Paid position.
About IBM
IBM provides IT services and consulting to a global client base. The company develops technology solutions across areas such as cloud computing, security, analytics, and infrastructure. It operates as a public organization with more than 10,001 employees. The corporate headquarters are located in Armonk, New York.
How to get in at IBM
Applying early at IBM gives you a measurable advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can submit your materials before the pile grows. Being among the first candidates seen helps you stand out in a large applicant pool. You can also improve your response rates by reaching out to the recruiters behind the roles directly. Intern Insider surfaces the specific contacts for IBM positions so you can ask about the role or a referral. This direct approach often works better than sending your resume into a queue.
