1 day ago
Responsibilities
- Build AI-agent workflows that interact with code, compilers, benchmarks, performance tools, and engineering systems.
- Develop tools for data collection, experimentation, compiler and performance analysis, optimization discovery, and recommendation generation.
- Explore data-driven approaches for compiler optimization, performance prediction, decision support, and workflow automation.
- Build reliable interfaces between AI agents and compiler or developer-tool infrastructure.
- Prototype improvements to compiler flows, optimization tools, experimentation systems, and developer workflows.
- Evaluate ideas on representative workloads and measure correctness, runtime performance, compile time, reliability, and related outcomes.
- Document designs, experiments, results, limitations, and next steps.
Requirements
- Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a 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.
- Experience with AI agents, LLM applications, evaluation systems, coding workflows, or developer tools is preferred.
- Experience with LLVM, MLIR, compiler optimization passes, code generation, domain-specific languages, or compiler infrastructure is preferred.
- Familiarity with GPU architecture, CUDA, GPU programming, or performance optimization is preferred.
- Hands-on experience with reinforcement learning, evolutionary algorithms, predictive modeling, ranking, search, or high-dimensional data analysis is preferred.
- Research, internship, open-source, or personal project experience measuring runtime, compile time, resource use, code quality, or developer productivity is preferred.
Benefits
- Intern benefits are provided.
- This is a Summer 2027 internship with an hourly rate of 20 USD to 71 USD.
- Applications will be accepted at least until November 2, 2026.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.