AI and Compiler Engineering Graduate Intern
Join Us in Shaping the Future
The Team
Position Overview
Special Note (Fully Remote)
Minimum Qualifications
- Pursuing a Master's or higher degree in Computer Science (preferred), Computer Engineering, Applied Mathematics, or a related technical field, with 2-3 years of hands-on experience in domain skills gained through internships, academic projects, coursework, or hands-on training OR a Master's degree in the relevant field with no prior professional experience.
- Proficiency in C/C++ programming and understanding of data structures and algorithms.
- Familiarity with compiler construction concepts from coursework or projects.
- Knowledge of modern CPU/GPU architecture and memory systems.
- Experience with accelerated computing and parallel programming models such as OpenMP, CUDA, or SYCL.
Preferred Qualifications
- Hands-on experience building compilers or compiler components using the LLVM framework.
- Demonstrated ability to analyze and optimize AI models and runtimes for performance and scalability across heterogeneous architectures.
- Experience in kernel programming and AI model optimization using PyTorch for large language models (LLMs).
- Familiarity with Intel Architecture and GPU performance tracking and analysis.
- Proven ability to debug complex technical problems and proactively propose solutions.
We are looking for individuals who are enthusiastic about shaping the future of computing technology. If you are ready to make an impact, apply today to join a collaborative and innovative team that is driving performance breakthroughs in AI and HPC.
Job Type
Shift
Primary Location
Posting Statement
Work Model for this Role
Canada Accommodation
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