Compiler Engineer

Intel is hiring a Compiler Engineer in Toronto, Canada. Level rates it ; you can apply on Intel.

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Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as a senior role.
Intel has 823 other open roles on Level.

AI in this role

Job Details:

Job Description:

The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful.

Join Us in Shaping the Future
At Intel, we are building the next generation of software innovation through the oneAPI software stack, a unified programming model designed to unlock the full potential of heterogeneous computing. Our team is at the forefront of enabling developers worldwide to harness CPUs, GPUs, and accelerators with cutting-edge tools, libraries, and compilers. By joining us, you'll contribute to an open ecosystem that drives performance, scalability, and portability across diverse architectures-empowering breakthroughs in AI, HPC, and beyond. If you're passionate about transforming how the world computes and want to work on technology that truly matters, this is your opportunity to make an impact.

The Team
The Intel Compiler Engineering Team is a high performing team responsible for the industry-leading LLVM-based Intel C, C++, SYCL, and Fortran Compilers. The team consists of leaders in the LLVM community. We are continually pushing the boundaries of compiler technology in support of providing maximally useful and performant compilers for all of Intel's processor platforms, both CPU and GPUs.

Position Overview
We are hiring a Compiler Engineer to work on Intel's open-source compiler stack. You will work on the development of new features that will enable the latest language standards. This work will enable you to collaborate upstream with the members of the clang open-source community, collaborating industry wide to deliver the best solutions. This role is perfect for individuals who thrive on diving deep into complex problems and collaborating broadly when needed. Curiosity is a must.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences.

Minimum Qualifications:
Bachelor's degree in Computer Science, Applied Mathematics, Informatics or a related technical discipline and 5+ years of experience OR Master's in Computer Science, Applied Mathematics, Informatics or related technical fields and 3+ years of experience.

The experience must include:

Experience in C/C++, object-oriented programming, and data structures.
Hands-on compiler development experience.
Demonstrated history of technical contributions to open-source projects.
Demonstrated history of technical contributions to Clang (commit history, patches, reviews)
Core LLVM expertise including hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration.
Strong problem-solving and debugging skills, ability to proactively pursue solutions.

Preferred Qualifications:

Intermediate-level C/C++with deep understanding of language constructs.
oneAPI, or other similar vendor toolchain development.
Participation in standards committees (C, C++, Khronos, etc.)

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 155,888.00-220,069.00

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.

How we rate this

Compiler Engineer at Intel rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.