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.

Role Overview:
Triton-lang is a open-source programming language and compiler for creating highly efficient custom GPU kernels. Its widely adopted in several stacks like Pytorch, SGLang, vLLM etc. Come join us to develop Triton front end and back end components for Intel GPUs.

Key Responsibilities:
• Define, design, develop, test, debug, release, enhance, and maintain software tools for domain-specific programming languages
• Work directly with hardware design teams, compiler development companies, and programming communities
• Participate in language and standards groups
• Design and implement Triton compiler front-end and back-end components
• Develop optimization passes for supported kernels

The ideal candidate should exhibit Collaborative skills, fast learner, and be passionate about the technology.

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 Requirements:
Bachelor's degree in Computer Science, Computer Engineering or related field and 4+ years of experience in GPU programming for AI Workload
OR Master's in Computer Science, Computer Engineering or related field and 2+ years of experience in GPU programming for AI Workload
OR PhD in Computer Science, Computer Engineering or related field and 1+ years of experience in GPU programming for AI Workload.

The experience must include:
• Programming skills in C, C++, and Python
• Experience with compiler stages, code generation, and optimization techniques
• Experience with GitHub development environment
• Familiarity with PyTorch attention techniques for transformer models

Preferred Qualifications:
• Experience with LLVM, MLIR, and Triton compiler architecture

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Canada)

Primary Location: 

Virtual Canada

Additional Locations:

Business group:

At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.

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 133,922.00-189,066.00

Salary range dependent on a number of factors including location and experience.

Work Model for this Role

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * 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.