Support tile-based AI programming models and compiler development initiatives, including technologies such as TileLang and cuTile.
Collaborate with hardware engineering teams to support new processor features, architectures, and AI workloads.
Develop, maintain, and enhance compiler technologies and related tools, including Clang, DPC++, and SYCL.
Write comprehensive test cases to ensure code coverage, functionality, and reliability.
Contribute to compiler optimizations involving parallelization, vectorization, and emerging programming models.
Research, identify, and resolve software bugs through debugging, performance analysis, and analytical techniques.
Collaborate with internal engineering teams and open-source communities, including Clang and LLVM, to support compiler development and innovation.
Support technical discussions and collaboration with external partners and standards groups to contribute to language evolution and industry best practices.
This position is not eligible for Intel immigration sponsorship.
Join a team advancing AI compiler technologies and programming models for next-generation computing. You'll have the opportunity to develop your technical expertise while contributing to meaningful projects that support Intel's AI and data center technology strategy.
Qualifications
Minimum Qualifications
Bachelor's degree in Computer Science, Applied Mathematics, Electronic Engineering, Informatics, or a closely related technical discipline.
1+ year of combined relevant experience in one or more of the following areas:
C/C++, SYCL, CUDA, DSLs programming, object-oriented design principles, and complex data structures.
Compiler technologies and LLVM compiler infrastructure.
Hands-on knowledge of compiler middle-end or backend technologies.
Preferred Qualifications
Experience developing and maintaining production-grade compilers.
Familiarity with Clang, LLVM, or MLIR compiler frameworks.
Experience with vectorization and parallel programming models like TileLang, cuTile, OpenMP, SYCL, CUDA, or GPU programming.
Strong understanding of x86 instruction set architecture and Advanced Vector Extensions (AVX).
Knowledge of performance analysis, optimization, and debugging techniques.
Be part of a team that thrives on innovation and collaboration, where your contributions will empower technology breakthroughs and transform industries worldwide.
Job Type
College Grad
Shift
Shift 1 (Canada)
Primary Location
Canada, Toronto
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 local law, regulation, or ordinance.
- Annual Salary Range for jobs which could be performed in Canada
- CAD 114,890.00-162,190.00
- Salary 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.
- Canada Accommodation:
Intel is committed to a culture of accessibility. Intel provides accommodations to applicants and employees with disabilities. Find information and request accommodation here.
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.
