Compiler Engineer

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Intel Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1968

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

Intel Corporation is a leading technology company that specializes in manufacturing and selling a variety of hardware and software products. Its offerings include processors such as Intel Core, Intel Xeon, and Intel Atom, as well as discrete graphics, AI accelerators, silicon photonics, and embedded solutions. Intel serves various industries with its networking, storage solutions, and developer resources, focusing heavily on AI and performance-driven technologies. The company plays a significant role in advancing computing experiences across PCs, data centers, cloud, edge, and 5G networks. Intel is committed to delivering high performance and secure technologies while fostering innovation through its expansive partner ecosystem and development tools.

📋 Description

• Design and implement core offloading technologies, including binary formats, device code generation, and next-generation offloading models • Enable heterogeneous computing across CPUs, GPUs, and accelerators • Collaborate upstream with the LLVM and SYCL communities • Partner with Intel compiler, runtime, performance, and platform teams • Deliver production-ready compiler solutions • Work on Intel's offload and SYCL infrastructure across open-source and closed-source compiler stacks • Contribute to LLVM-based Intel C, C++, SYCL, and Fortran compiler technology

🎯 Requirements

• Bachelor's degree in Computer Science, Computer Engineering or related field and 3+ years of experience OR Master's in Computer Science, Computer Engineering or related field • Experience with C/C++, object-oriented programming, and data structures • Open-source development contributions to LLVM, SYCL, or similar projects • Foundational understanding of compiler concepts, including frontend parsing, IR transformation, code generation, and linking • Understanding of heterogeneous computing concepts, including CPU/GPU programming, offloading models, and accelerator architectures • Experience developing or maintaining production compilers in offloading toolchains, SPIR-V generation, and Clang driver (preferred) • Expertise in CPU/GPU/NPU architectures and SYCL/CUDA/OpenMP programming models (preferred) • Strong problem-solving and debugging abilities (preferred) • Ability to work independently and proactively pursue solutions (preferred)

🏖️ Benefits

• Fully home-based work model • Occasional attendance at Intel sites based on business need • Future hybrid work model with on-site presence at least four days per week once the Toronto office is operational • Accessibility accommodations for applicants and employees with disabilities