3 days ago
Toronto, CanadaEntry Level
Responsibilities
- Design, implement, test, and debug compiler features for DSLs, Triton, and related programming models.
- Develop compiler optimizations, analyses, and transformations to improve application performance and scalability.
- Contribute to compiler front-end, middle-end, and code-generation technologies.
- Collaborate with hardware architects, compiler engineers, and AI framework developers to enable new platform capabilities.
- Contribute to open-source compiler projects and communities where appropriate.
- Apply emerging technologies in compilers, AI software, and heterogeneous computing.
Requirements
- Bachelor's degree in Computer Science, Applied Mathematics, Computer Engineering, Informatics, or a related technical discipline plus 1+ years of experience, or a Master's degree with 0+ years of experience, or a PhD.
- Strong programming experience in C++ and/or Python.
- Strong problem-solving and debugging skills.
- Familiarity with computer architecture, operating systems, or systems software concepts.
- Interest in compiler technologies, programming languages, AI software, or performance optimization.
- Preferred: experience with LLVM, MLIR, Triton, GCC, Clang, or similar compiler frameworks.
- Preferred: experience with GPU programming models such as CUDA, OpenMP, SYCL, or HIP.
- Preferred: knowledge of machine learning, AI frameworks, or high-performance computing applications.
- Preferred: experience analyzing and optimizing software performance.
- Preferred: experience contributing to open-source projects.
Benefits
- Annual salary range of CAD 114,890.00-162,190.00.
- Hybrid work model allowing employees to split time between the assigned Intel site and off-site.
- Primary location is Toronto, Canada, with Shift 1 scheduling.
- 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.