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11 дней назад

MLIR Compiler Engineering Graduate Intern

28 920€
Формат работы
hybrid
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
MLIR Compiler Engineering Graduate Intern (MLIR/C++): Developing and improving compiler and runtime technologies, tests, and developer tools for Intel's data-centric computing solutions with an accent on compiler correctness, debugging, and performance optimization. Focus on implementing and testing complex software in C/C++, analyzing compile-time and runtime behavior, and contributing to collaborative and open-source development.

Location: Munich, Germany; hybrid work model with time split between the assigned hirify.global site and off-site work

Minimum annual salary: €28,920

Company

hirify.global's Data Center Group develops technologies for data centers, cloud environments, and enterprise networks.

What you will do

  • Design, implement, test, and optimize compiler and runtime technologies.
  • Develop and debug software in C or C++ within a large collaborative codebase.
  • Create tests, reproduce and resolve defects, analyze failures, and deliver reliable solutions.
  • Evaluate functional correctness, compile-time behavior, runtime performance, and code quality.
  • Participate in technical discussions, code reviews, project planning, and mentoring activities.
  • Document designs and experiments, present project outcomes, and collaborate with open-source communities where applicable.

Requirements

  • Currently pursuing a Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical field, with student status maintained for at least one year.
  • Graduate-level coursework or project experience in data structures and algorithms, plus computer architecture, compiler construction, programming languages, or operating systems.
  • Proficiency in C or C++ within complex software systems.
  • Comfort with Linux development environments, command-line tools, debugging, Git, and build systems.

Nice to have

  • Experience with LLVM, MLIR, Clang, SYCL/DPC++, Triton, or another compiler ecosystem.
  • Working knowledge of Python for test harnesses, build scripts, and benchmarking tools.
  • Experience with CPU/GPU architectures, heterogeneous computing, AI/ML compilation, parallel programming, or performance optimization.
  • Familiarity with PyTorch, vLLM, SGLang, DeepSeek, Hugging Face, or similar machine-learning ecosystems.
  • Open-source contributions or experience in large collaborative codebases.

Culture & Benefits

  • Part-time student internship with Shift 1 in Germany.
  • Work on impactful data-centric technologies for computing and connectivity.
  • Opportunities to develop skills through collaboration with team members and mentors.
  • Hybrid work model combining on-site and off-site work.

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