9 дней назад
AI and Compiler Engineering Graduate Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI and Compiler Engineering Graduate Intern (AI): Developing compiler and runtime optimizations for AI/ML models across Intel CPUs, GPUs, and accelerators with an accent on LLVM, SYCL, CUDA, and heterogeneous computing. Focus on analyzing model performance, building hardware-software features, optimizing kernels and LLM workloads, and evaluating scalability across architectures.
Location: Virtual Canada; must live and work in Canada. Fully home-based, with occasional attendance at sites based on business need. Remote work from other countries is not permitted.
Company
develops processors, foundational software, compilers, tools, and libraries for CPU, GPU, and accelerator platforms.
What you will do
- Collect and analyze AI model performance data on CPUs and GPUs.
- Contribute to hardware and software features that optimize AI models and workloads.
- Support compiler innovation and the co-design of next-generation CPU and GPU architectures.
- Evaluate the impact of compiler optimizations on hardware design, performance, scalability, and reliability.
- Work with experienced engineers 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; alternatively, a relevant Master's degree with no prior professional experience.
- Two to three years of hands-on domain experience through internships, academic projects, coursework, or training, unless applying with a relevant Master's degree and no prior experience.
- Proficiency in C/C++ and understanding of data structures and algorithms.
- Familiarity with compiler construction, modern CPU/GPU architecture, and memory systems.
- Experience with accelerated computing and parallel programming models such as OpenMP, CUDA, or SYCL.
- Must live and work in Canada due to legal and hiring restrictions.
Nice to have
- Experience building compilers or compiler components with LLVM.
- Experience optimizing AI models and runtimes for heterogeneous architectures.
- Kernel programming and PyTorch-based optimization of large language model workloads.
- Familiarity with Architecture and GPU performance analysis.
- Ability to debug complex technical problems and propose solutions proactively.
Culture & Benefits
- Full-time student internship role.
- Collaborative work with experienced compiler engineering specialists.
- Home-based work model with occasional site attendance based on business need.
- Expected start date: Fall Semester 2027.
- Accessibility accommodations are available for applicants and employees with disabilities.
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