AI and Compiler Engineering Graduate Intern

🔥 12 hours ago

🇨🇦 Canada – Remote

👨‍🎓 Internship

⚪️ Entry-level

🖥 Software Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Intel Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1968

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

Intel Corporation is a leading technology company that specializes in manufacturing and selling a variety of hardware and software products. Its offerings include processors such as Intel Core, Intel Xeon, and Intel Atom, as well as discrete graphics, AI accelerators, silicon photonics, and embedded solutions. Intel serves various industries with its networking, storage solutions, and developer resources, focusing heavily on AI and performance-driven technologies. The company plays a significant role in advancing computing experiences across PCs, data centers, cloud, edge, and 5G networks. Intel is committed to delivering high performance and secure technologies while fostering innovation through its expansive partner ecosystem and development tools.

📋 Description

• Collect and analyze AI model performance data on Intel CPUs and GPUs • Contribute to hardware and software features that optimize AI models and workload performance • Evaluate optimization impact on hardware design • Support co-design of next-generation Intel CPU and GPU architectures through compiler innovation • Work alongside experienced engineers on AI/ML model and framework optimizations • Gain hands-on experience with LLVM, SYCL, CUDA, compilers, and runtimes across the hardware-software stack

🎯 Requirements

• Pursuing a Master's or higher degree in Computer Science, 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 • 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 • 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

🏖️ Benefits

• Fully home-based work model • Occasional attendance at Intel sites based on business need • Accessibility accommodations for applicants and employees with disabilities