AI Compiler and Kernel Intern – Summer 2027

Description

The company wants to apply AI agents, machine learning, and performance engineering to compilers, GPU kernels, and developer tools.

This internship is a scoped project run with compiler, kernel, and AI engineers. It covers code, compiler and kernel feedback, performance experiments, and optimization.

The focus depends on your background and interests: agentic workflows, learned models, compiler optimization, GPU kernel development, performance analysis, or AI-enabled developer tools.

You may come in from a compiler or a kernel background. You do not need experience in every area.

Responsibilities

• Build AI agent workflows that work with code, compilers, GPU kernels, benchmarks, performance tools, and engineering systems.
• Create tools that let agents gather data, run experiments, analyze compiler, kernel, and performance feedback, spot optimization opportunities, and suggest next steps.
• Investigate data-driven methods for compiler optimization, GPU kernel generation and tuning, performance prediction, decision support, and workflow automation.
• Build dependable interfaces between AI agents and compiler, kernel, or developer-tool infrastructure.
• Prototype changes to compiler flows, code generation, GPU kernels, optimization tools, experiment systems, or developer workflows.
• Test ideas on representative workloads with compiler, kernel, architecture, AI, and performance engineers.
• Measure correctness, runtime speed, compile time, resource use, reliability, and other relevant results.
• Write up the design, experiments, results, limitations, and next steps.

Requirements

• You are pursuing a BS, MS, or PhD in computer science, computer engineering, electrical engineering, or a closely related field.
• You have strong programming skills in Python, C, C++, or a similar language.
• You have a solid grasp of data structures, algorithms, software engineering, and quantitative problem solving.
• You have coursework, research, or project experience in at least one of: AI, machine learning, AI agents, compilers, programming languages, GPU kernels, CUDA or accelerator programming, systems, performance engineering, optimization, or developer tools.
• You can design experiments, analyze results, dig into technical problems, and explain your findings clearly.
• You have experience in AI, compilers, kernels, performance, or systems, and you can pick up skills across these areas.
• Ways to stand out: you have built AI agents, LLM applications, evaluation systems, coding workflows, or developer tools.
• Ways to stand out: you have worked with LLVM, MLIR, compiler optimization passes, code generation, domain-specific languages, or compiler infrastructure.
• Ways to stand out: you have written, analyzed, or optimized GPU kernels in CUDA, Triton, or a similar accelerator model.
• Ways to stand out: you have hands-on work with reinforcement learning, evolutionary algorithms, predictive modeling, ranking, search, or high-dimensional data analysis.
• Ways to stand out: you have done research, internships, open-source work, or personal projects that measure runtime, compile time, resource use, code quality, or developer productivity.

Conditions

This is a summer 2027 internship.

The hourly rate is 20 USD to 94 USD, set by the role, your location, year in school, degree, and experience.

This is an existing vacancy, and applications are accepted at least until November 6, 2026.

The company uses AI tools in its recruiting process.

The company is an equal opportunity employer and does not discriminate on any protected characteristic.