Position Overview
We are hiring a Compiler Engineer Intern to contribute to Intel's compiler software stack. You will work with experienced compiler and hardware architecture engineers on an engineering or research project that may involve compiler features, MLIR-based intermediate representations, Triton or other Domain Specific Languages (DSLs), optimization, code generation, runtime or offload support, debug information, testing infrastructure, performance analysis, or developer tools. Projects may connect hardware capabilities to AI frameworks such as PyTorch, inference engines such as vLLM and SGLang, and machine-learning model ecosystems such as DeepSeek, Hugging Face, and Qimi. You will investigate technical problems, implement and test solutions, analyze results, and communicate findings to the team. This opportunity is designed for a graduate student who can apply deeper technical expertise to an ambiguous engineering or research problem, evaluate alternatives, and deliver a well-supported solution or prototype.
Responsibilities
Contribute to the design, implementation, testing, or analysis of compiler and runtime technologies.
Develop and debug software in C or C++ within a large, collaborative codebase.
Create or improve tests, reproduce defects, analyze failures, and help deliver reliable solutions.
Evaluate functional correctness, compile-time behavior, runtime performance, or code quality, as applicable to the project.
Participate in code reviews, technical discussions, and project planning with mentors and team members.
Document designs, experiments, results, and lessons learned, and present project outcomes to the team.
Contribute to open-source projects when aligned with the assigned work.
Qualifications
Minimum Qualifications
Currently pursuing a Bachelor or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical discipline.
Graduate-level coursework, research, or project experience in compilers, programming languages, computer architecture, parallel computing, systems software, or a closely related area.
Experience programming in C or C++ and working with complex software systems.
Experience designing experiments, analyzing technical results, and communicating conclusions.
Preferred Qualifications
Hands-on experience with LLVM or related compiler infrastructure, including front-end development, intermediate representations, optimization passes, code generation, runtimes, or debug information.
Research or development experience involving CPU/GPU architectures, heterogeneous computing, AI/ML compilation, HPC, parallel programming, or performance optimization.
Familiarity with LLVM, MLIR, Clang, Flang, SYCL/DPC++, Triton, OpenMP, CUDA, or another compiler or parallel-programming ecosystem.
Experience with AI frameworks such as PyTorch, inference engines such as vLLM and SGLang, and machine-learning model ecosystems such as DeepSeek, Hugging Face, and Qimi.
Tile-base programming model knowledge
GPU Compute kernel writing experience
Experience contributing to open-source software or working in a large collaborative codebase.
Publications, technical reports, patents, open-source contributions, or other evidence of advanced technical work.
Success in This Role
Curiosity and willingness to learn unfamiliar technologies.
Strong analytical, problem-solving, and debugging skills.
Clear written and verbal communication.
Ability to work independently on scoped tasks while seeking guidance when needed.
Collaborative mindset and commitment to high-quality engineering.
Job Type
Student / Intern
Shift
Shift 1 (China)
Primary Location
PRC, Shanghai
Additional Locations
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
- Work Model for this Role
- This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
