Posted:
3/30/2026, 4:25:25 AM
Location(s):
Toronto, Ontario, Canada ⋅ Ontario, Canada
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
Software Engineering
Workplace Type:
Hybrid
The Role and Impact
Join Intel's Compiler Engineering team, where you will collaborate on cutting-edge technologies driving the next generation of software innovation. As a Compiler Engineer, you will play a critical role in designing, developing, testing, debugging, and maintaining Intel's industry-leading LLVM-based compiler stack, including C, C++, SYCL, and Fortran compilers. Your contributions will directly impact Intel's processor platforms, enabling developers worldwide to harness CPUs, GPUs, and accelerators to achieve extraordinary breakthroughs in AI, high-performance computing, and beyond. This is your opportunity to work with leaders in the LLVM community and make meaningful contributions to software ecosystems that empower global innovation.
Key Responsibilities:
- Design and develop advanced compiler features and optimizations tailored to Intel Architectures.
- Collaborate with hardware engineering teams to support new processor features and architectures through compilers.
- Contribute to the development and maintenance of Clang, DPC++, SYCL technologies, and associated tools.
- Write and maintain test cases to cover new functionality, ensuring high code coverage and overall reliability.
- Work upstream with clang open-source communities, driving industry-wide collaboration for optimal solutions.
- Ensure robust support for parallelization and vectorization techniques, enhancing the performance of Intel compilers.
- Engage with external partners, language standards groups, and companies developing compilers to align on best practices and innovative solutions.
- Investigate and resolve complex software bugs through efficient debugging and problem-solving techniques.
Professional traits:
- Demonstrated problem-solving, Communication skills and
the ability to work independently.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Applied Mathematics, Informatics, or a related technical discipline.
- 3+ years of experience in C/C++ programming, object-oriented design principles, and data structures.
- 3+ years of LLVM compiler technology experience.
- 2+ years of experience in open-source projects.
Preferred Qualifications:
- Master’s degree in a related field.
- 3+ years of experience developing and maintaining production-grade compilers.
- Familiarity with clang, LLVM, or MLIR compiler frameworks.
- Experience in parallel and offload programming models like OpenMP, SYCL, CUDA, or GPU programming.
- Knowledge of performance analysis, optimization, and debugging techniques.
Seize the opportunity to be part of Intel's mission to create world-changing technology that enriches lives and shapes the future. Apply today and contribute to innovations that matter.
Annual Salary Range for jobs which could be performed in Canada
CAD 114,890.00-162,190.00Salary range dependent on a number of factors including location and experience.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.Intel is committed to a culture of accessibility. Intel provides accommodations to applicants and employees with disabilities. Find information and request accommodation here.
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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.Website: https://www.intel.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1968
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Artificial Intelligence (AI) ⋅ Information Technology ⋅ Product Design ⋅ Semiconductor ⋅ Software