AI and Compiler Engineering Graduate Intern

Job Description: Join Us in Shaping the Future At Intel, we're advancing the next generation of foundational software through hardware-software co-design, building state-of-the-art compilers for AI/ML models that unlock the full potential of heterogeneous computing. Our team enables developers worldwide to harness CPUs, GPUs, and accelerators with cutting-edge tools, libraries, and compilers. By joining us, you'll contribute to an open ecosystem that drives performance, scalability, and portability across diverse architectures-empowering breakthroughs in AI, HPC, and beyond. If you're passionate about transforming computing technology and want to work on innovations that truly matter, this is your opportunity to make an impact.

The Intel Compiler Engineering Team is a high-performing organization responsible for creating the industry-leading Intel C/C++/DPC++ and Fortran Compilers. As a leader in LLVM.org, the foundation of our compiler products, we continually push the boundaries of compiler technology to deliver highly useful and performant compilers for all Intel processor platforms, including both CPUs and GPUs.

Overview We're hiring a Compiler Research and Development Intern to support the co-design of next-generation Intel CPU and GPU architectures through compiler innovation for AI/ML model and framework optimizations. In this role, you'll work alongside experienced engineers to collect and analyze AI model performance data on Intel CPUs and GPUs, contribute to hardware and software features that optimize AI models and workload performance, and evaluate optimization impact on hardware design. You'll gain hands-on experience with technologies like LLVM, SYCL and CUDA while learning how compilers and runtimes integrate across the hardware-software stack to deliver strong performance and reliability for AI workloads. Ideal Start Date: Fall Semester 2027 Qualifications: Minimum Qualifications - Pursuing a Master's or higher degree in Computer Science (preferred), Computer Engineering, Applied Mathematics, or a related technical field, with 2-3 years of hands-on experience in domain skills gained through internships, academic projects, coursework, or hands-on training OR a Master's degree in the relevant field with no prior professional experience. - Proficiency in C/C++ programming and understanding of data structures and algorithms. - Familiarity with compiler construction concepts from coursework or projects. - Knowledge of modern CPU/GPU architecture and memory systems. - Experience with accelerated computing and parallel programming models such as OpenMP, CUDA, or SYCL. Preferred Qualifications - Hands-on experience building compilers or compiler components using the LLVM framework. - Demonstrated ability to analyze and optimize AI models and runtimes for performance and scalability across heterogeneous architectures. - Experience in kernel programming and AI model optimization using PyTorch for large language models (LLMs). - Familiarity with Intel Architecture and GPU performance tracking and analysis. - Proven ability to debug complex technical problems and proactively propose solutions. We are looking for individuals who are enthusiastic about shaping the future of computing technology. If you are ready to make an impact, apply today to join a collaborative and innovative team that is driving performance breakthroughs in AI and HPC.            Job Type: Student / Intern Shift: Shift 1 (Canada) Primary Location: Virtual Canada 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