[上海]英特尔（中国）有限公司

职位：Compiler Engineering Intern
发布时间：2026-10-13
工作地点：上海
信息来源：前程无忧(51JOB)
职位类型：全职
职位描述
专业1:建筑学
职能类别:软件工程师
Job Description:
Join Us in Shaping the Future
At Intel, we are building the next generation of software technologies that unlock the potential of heterogeneous computing. Our compiler technologies help developers harness CPUs, GPUs, and accelerators through high-performance, portable software. As an intern, you will contribute to an open ecosystem that advances performance, scalability, reliability, and developer productivity for AI, HPC, and other demanding workloads, while supporting Intel's commitment to contributing to and collaborating with open-source communities.
The Team
The Intel Compiler Engineering Team develops LLVM-based C, C++, SYCL, Triton, MLIR, Domain Specific Languages (DSLs), and Fortran compiler technologies for Intel processor platforms, including CPUs and GPUs. The team works across the compiler stack and in close collaboration with hardware architecture teams, covering language front ends, intermediate representations, optimization, code generation, debug information, runtimes, offload support, quality, and developer tooling. This work connects Intel hardware and compiler capabilities with AI frameworks and software ecosystems such as PyTorch, inference engines, and machine-learning models. You will collaborate with experienced engineers and contribute to open-source communities while learning how production compilers are designed, tested, optimized, and delivered.
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. 公司简要介绍：
公司名称:英特尔（中国）有限公司
公司类型:外资（欧美）
公司规模:1000-5000人
公司介绍:英特尔专注于先进半导体的设计与制造，连接并驱动现代世界。每天，我们的工程师都在不断创造新技术，塑造计算的未来，为我们服务的客户创造更多可能。
英特尔 1985 年进入中国，是***进入中国的跨国公司之一。英特尔始终秉持植根中国、服务中国的理念，推动共同发展。在华运营四十一年来，英特尔深耕中国产业生态，开展产业合作，并建立了覆盖研发、制造、销售和技术支持的本地运营体系。英特尔将在中国市场的数字化、智能化和绿色化转型中为客户、伙伴和社会创造更大的价值。