Software Engineering Intern, AI CI/CD Infrastructure - 2027

Responsibilities

• Design and implement an AI-assisted workflow for analyzing and triaging failures in deep learning compilers CI
• Use logs, test results, and execution metadata to classify failures, identify regressions, and detect flaky tests
• Integrate the solution with existing CI infrastructure and create diagnostics that help engineers understand and resolve failures
• Evaluate accuracy, reliability, and developer time savings across representative GPU hardware and software configurations
• Collaborate with compiler verification and infrastructure engineers, document the project, and present results to the team
• What we need to see
• Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
• Strong Python programming skills and a solid understanding of software engineering, debugging, and version control
• Familiarity with Linux development environments and command-line tools
• Experience through coursework, research, open-source work, or prior internships with CI/CD, test automation, developer tools, infrastructure, or machine learning systems

Languages