Build AI-agent workflows, develop tools, explore data-driven approaches, prototype improvements, and evaluate ideas on representative workloads for AI, compiler, and GPU kernel projects.
Compensation
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.
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.
Build AI-agent workflows, develop tools, prototype improvements, and evaluate ideas on representative workloads for AI, compiler, kernel, and performance engineering.
Compensation
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.
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.