AI & Cloud Software Engineer Co-op - Spring 2027

IBM; Cambridge (MA); Hybrid; USD 83,000 - 152,000; Full time

Job summary

IBM International Business Machines Corporation in Cambridge, MA offers a 16-week Software Developer Co‑op for Spring 2027. The role requires a student enrolled in a Bachelor's degree, able to pause coursework for the term, and available to work full-time (40 hours/week) during January–May 2027.

You will join an engineering team building AI agents, LLM evaluation, observability, and cloud-native AI systems, contributing to SDKs, APIs, back-end services, and tooling.

Qualifications

• Active enrollment in a Bachelor's degree program and ability to pause studies for 16-week Co-op.
• Available to start full‑time between December 2027 and August 2028.
• Commitment to 40 hours per week for 16 weeks (January 2027 to May 2027).
• No concurrent coursework during the Co‑op term and strong software fundamentals.

Responsibilities

• Design, build, test, and operate software across front‑end, back‑end, and infrastructure.
• Contribute to SDKs, APIs, distributed services, and developer tools for AI agents and cloud‑native systems.
• Evaluate and observe AI models and tools, and help optimize performance and costs.
• Participate in code reviews, Agile development, and collaboration with engineers, researchers, PMs, and designers.
• Use Git, CI/CD, and cloud technologies to deliver production‑level software.

Skills

Software development

Programming languages

Git

Agile

Team collaboration

Problem solving

English communication

Education

Bachelor's Degree

High School Diploma/GED

Tools

React

Node.js

Python

Java

SQL

Go

Docker

Kubernetes

REST APIs

Job description

IBM International Business Machines Corporation in Cambridge, MA offers a 16-week Software Developer Co‑op for Spring 2027. The role requires a student enrolled in a Bachelor's degree, able to pause coursework for the term, and available to work full-time (40 hours/week) during January–May 2027.

You will join an engineering team building AI agents, LLM evaluation, observability, and cloud-native AI systems, contributing to SDKs, APIs, back-end services, and tooling.