Compiler Performance Engineer

Intel Corporation; Toronto; On-site; CAD 110,000 - 170,000; Full time

Job summary

Intel Corporation in Toronto is seeking experienced compiler engineers to help shape software development for heterogeneous compute across CPUs, GPUs and accelerators. You will work on LLVM-based technologies for C/C++, SYCL, MLIR, and related tooling, spanning front ends to code generation and offload.

You will analyze performance, implement tests, and collaborate with teams worldwide to improve performance and portability while contributing to open-source communities.

Qualifications

• 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.
• 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.

Responsibilities

• 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.

Skills

Compiler development

Performance analysis

Open-source collaboration

Parallel programming

Education

Master's degree in CS/CE/EE

Bachelor's degree in CS/CE/EE

Tools

LLVM

MLIR

GCC

OpenMP

Job description

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

• 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:

• 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 .
• 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 Ann