Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this AI Compiler and Kernel Intern – Summer 2027 role.
Rezi rewrites your resume against NVIDIA's job description. Free.
Tailor your resume to this AI Compiler and Kernel Intern – Summer 2027 role.
Rezi rewrites your resume against NVIDIA's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the AI Compiler and Kernel Intern – Summer 2027 posting at NVIDIA — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the AI Compiler and Kernel Intern – Summer 2027 posting at NVIDIA — free, in seconds.
About the Role
NVIDIA is seeking an AI Compiler & Kernel Intern to apply AI agents, machine learning, and performance engineering to compilers, GPU kernels, and developer tools. You will collaborate with compiler, kernel, and AI engineers on a project involving code feedback, performance experiments, and optimization, with potential focus on agentic workflows, learned models, compiler optimization, GPU kernel development, performance analysis, or AI-enabled developer tools. Prior experience in every area is not expected.
Responsibilities
- Build AI-agent workflows that interact with code, compilers, GPU kernels, benchmarks, performance tools, and engineering systems.
- Develop tools to aid agents in data collection, experiment execution, analysis of compiler/kernel/performance feedback, identification of optimization opportunities, and recommendation of 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.
- Collaborate 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.
Requirements
- Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a similar 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 one or more of these areas: AI, machine learning, AI agents, compilers, programming languages, GPU kernels, CUDA or accelerator programming, systems, performance engineering, optimization, or developer tools.
- Ability to design experiments, analyze results, investigate technical problems, and communicate findings clearly.
- Experience working in one or more of AI, compiler, kernel, performance, or systems areas, with the ability to learn across technical boundaries.
Skills
- AI agents
- Machine learning
- Performance engineering
- Compilers
- GPU kernels
- Developer tools
- Python
- C
- C++
- Data structures
- Algorithms
- Software engineering
- Quantitative problem solving
- Programming languages
- CUDA
- Accelerator programming
- Systems
- Optimization
- LLVM
- MLIR
- Compiler optimization passes
- Code generation
- Domain-specific languages
- Compiler infrastructure
- Triton
- Reinforcement learning
- Evolutionary algorithms
- Predictive modeling
- Ranking
- Search
- High-dimensional data analysis
Experience Level
- Intern
Education Level
- BS
- MS
- PhD
Salary/Compensations
- 20 USD – 94 USD per hour
Benefits
- Intern benefits
About the Company
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
- As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Equal Opportunity
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
- As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.