AI Compiler and Kernel Intern - Summer 2027

Responsibilities

• Build AI-agent workflows that interact with code, compilers, GPU kernels, benchmarks, performance tools, and engineering systems.
• Develop tools that help agents collect data, run experiments, analyze compiler, kernel, and performance feedback, identify optimization opportunities, and recommend next steps.
• Explore data-driven approaches for compiler optimization, GPU kernel generation and tuning, performance prediction, decision support, and workflow automation.
• Build reliable interfaces between AI agents and compiler, kernel, or developer-tool infrastructure.
• Prototype improvements to compiler flows, code generation, GPU kernels, optimization tools, experimentation systems, or developer workflows.
• Work with compiler, kernel, architecture, AI, and performance engineers to evaluate ideas on representative workloads.
• Measure correctness, runtime performance, compile time, resource utilization, reliability, and other relevant outcomes.
• Document the design, experiments, results, limitations, and next steps.
• What We Need to See
• Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a similar field.

Languages