Job Details:
Job Description:
SPECIAL NOTE - Intel is in the process of securing office space in the greater metropolitan area of Toronto, Ontario. This office will serve as your assigned work location in the future. Once the site is operational, your position will follow Intel's hybrid work model, which currently requires on-site presence at least four days per week. Until the office is ready, you will be classified as a remote employee and will be working virtually from the greater metropolitan area of Toronto, Ontario.
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.
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.
