1 day ago
Remote, CanadaIntern
Responsibilities
- Collect and analyze AI model performance data on Intel CPUs and GPUs.
- Contribute to compiler, runtime, and hardware-software features that optimize AI models and workloads.
- Evaluate the impact of compiler optimizations on hardware design and performance.
- Work with LLVM, SYCL, CUDA, and heterogeneous computing technologies.
- Analyze and optimize AI models and runtimes across heterogeneous architectures.
- Collaborate with experienced compiler engineering teams on performance and reliability improvements.
Requirements
- Pursuing a Master's or higher degree in Computer Science, Computer Engineering, Applied Mathematics, or a related technical field, with 2-3 years of hands-on domain experience through internships, academic projects, coursework, or training, or holding a relevant Master's degree with no prior professional experience.
- Proficiency in C/C++ 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 experience building compilers or compiler components with LLVM.
- Preferred experience analyzing and optimizing AI models and runtimes for performance and scalability across heterogeneous architectures.
- Preferred kernel programming and AI model optimization experience using PyTorch for large language models.
- Preferred familiarity with Intel Architecture and GPU performance tracking and analysis.
- Ability to debug complex technical problems and proactively propose solutions.
Benefits
- Student/intern position with an ideal start date in Fall 2027.
- Fully home-based work model in Canada, with occasional attendance at Intel sites based on business need.
- Applicants must live and work from Canada.
- Intel provides accommodations for applicants and employees with disabilities.
About Intel
Intel is a public semiconductor company that designs and manufactures CPUs and other silicon for PCs, servers, networking, edge, and embedded systems, and also offers foundry services plus AI and graphics accelerators. Founded in 1968 and headquartered in Santa Clara, it sells primarily to OEMs, cloud providers, and device makers worldwide. Its portfolio includes x86 processors (Core and Xeon), Ethernet and chipset products, and the Mobileye autonomous driving platform.