Job Details:

Job Description: 

The Compiler Engineering team within Intel's Data Center Group is seeking talented and passionate compiler engineers to help shape the future of software development.

At Intel, we are building next-generation software technologies that unlock the full potential of heterogeneous computing. Our compiler technologies enable developers to efficiently leverage CPUs, GPUs, and accelerators through high-performance, portable software. Our mission is to design, innovate, and deliver industry-leading compilers and development tools that maximize hardware performance across Intel platforms. By advancing performance, scalability, reliability, and developer productivity, we empower AI, HPC, and other compute-intensive workloads while maintaining a strong commitment to open-source collaboration and innovation.

Our team develops LLVM-based compiler technologies for C, C++, SYCL, Triton, MLIR, domain-specific languages (DSLs), and Fortran, targeting Intel CPUs and GPUs. We work across the entire compiler stack, including language front ends, intermediate representations, optimization frameworks, code generation, debug information, runtimes, offload support, quality engineering, and developer tooling.

This role provides exceptional opportunities for technical growth and career development through hands-on work with cutting-edge compiler technologies, mentorship from experienced engineers and technical leaders, and collaboration with world-class engineering teams across the globe.

Responsibilities

As part of the compiler performance and optimization team, you will gain firsthand experience in the technologies that transform source code into highly optimized machine code. Your responsibilities will include:

• Analyzing performance issues in compiler-generated code and identifying root causes within optimization and code generation stages.
• Measuring and tuning application performance on Intel CPUs and GPUs while tracking regressions and identifying optimization opportunities.
• Designing and implementing automated testing solutions to continuously monitor compiler performance and quality.
• Bridging Intel hardware and compiler capabilities with AI and HPC software ecosystems, including PyTorch, inference frameworks, and machine learning workloads.
• Contributing to open-source compiler communities through issue reporting, patch development, code reviews, and technical discussions.
• Developing and enhancing compiler components, including optimization passes, code generation features, runtime systems, and offload technologies under the guidance of senior engineers.
• Building expertise in specialized areas such as compiler optimizations, backend code generation, heterogeneous computing, offload compilation, or workload performance analysis.

As a software engineer on our team, you will collaborate with a diverse, global group of engineers and have the opportunity to influence the future of compiler technology, developer tools, and high-performance computing software.

Qualifications:

Minimum Qualifications:
Candidates must possess one of the following:

• Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field with 1+ year of experience in compiler development, compiler performance analysis, or compiler optimization.

OR

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field with 2+ years of experience in compiler development, compiler performance analysis, or compiler optimization.

• Completed academic coursework in data structures and/or algorithms.

Preferred Qualifications:

• Strong written and oral communication skills, with the ability to clearly communicate technical details and concepts.
• Precise attention to detail and genuine motivation to learn and improve product performance.
• Familiarity with Intel x86 instruction set architecture and Advanced Vector Extensions, or with GPU architecture and execution models.
• Exposure to LLVM or MLIR compiler infrastructure, or to GCC.
• Experience with parallel and heterogeneous programming models such as OpenMP, SYCL, OpenCL, Triton, or CUDA.
• Experience with performance analysis tools and methodology on real-world applications.
• Exposure to AI/ML frameworks and inference stacks.
• Open-source contribution history.
• Demonstrated ability to analyze and solve complex technical problems.

 

          

Job Type:

Experienced Hire

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.

Position of Trust

N/A

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.