AI Systems Engineer Intern: Build AI-Driven Compiler Workflows

NVIDIA Corporation

Austin (TX)

On-site

USD 28,000 - 129,000

Part time

5 days ago
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Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation in Austin, TX is offering an internship to help build AI-agent workflows that interact with code, compilers, benchmarks, and engineering systems. You will design experiments, develop data-collection tools, and contribute to performance optimization.

This position requires pursuing a BS, MS, or PhD in CS/CE/EE, strong Python and C/C++, and coursework or projects in AI, compilers, or systems. Experience with LLVM/MLIR or CUDA is a plus. Intern benefits apply.

Qualifications

  • Pursuing a BS, MS, or PhD in CS/CE/EE or related field.
  • Strong programming skills in Python, C, C++, or a similar language.
  • Solid foundations in data structures, algorithms, software engineering, and quantitative problem solving.
  • Coursework, research, or project experience in AI, machine learning, AI agents, compilers, programming languages, systems, performance engineering, optimization, or developer tools.
  • Ability to design experiments, analyze results, investigate technical problems, and communicate findings clearly.
  • Interest in learning across AI, compiler, performance, and systems boundaries.

Responsibilities

  • Build AI-agent workflows that interact with code, compilers, benchmarks, and performance tools.
  • Develop tools to collect data, run experiments, analyze feedback, and identify optimization opportunities.
  • Explore data-driven approaches for compiler optimization, performance prediction, decision support, and workflow automation.
  • Build interfaces between AI agents and compiler or developer-tool infrastructure.
  • Prototype improvements to compiler flows, optimization tools, experimentation systems, or developer workflows.
  • Work with compiler, architecture, AI, and performance engineers to evaluate ideas on representative workloads.
  • Measure correctness, runtime performance, compile time, reliability, and other relevant outcomes.
  • Document the design, experiments, results, limitations, and next steps.

Skills

Python
C
C++
Data structures
Algorithms
Software engineering
Quantitative problem solving

Education

Pursuing BS/MS/PhD in CS/CE/EE or related field

Tools

LLVM/MLIR
CUDA

Job description

NVIDIA Corporation in Austin, TX is offering an internship to help build AI-agent workflows that interact with code, compilers, benchmarks, and engineering systems. You will design experiments, develop data-collection tools, and contribute to performance optimization.

This position requires pursuing a BS, MS, or PhD in CS/CE/EE, strong Python and C/C++, and coursework or projects in AI, compilers, or systems. Experience with LLVM/MLIR or CUDA is a plus. Intern benefits apply.

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