MLIR Compiler Engineering Graduate Intern (f/m/d)

Intel Corporation

München

On-site

EUR 26,000 - 32,000

Part time

13 days ago

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Job summary

Intel Corporation in Munich is seeking a Development Tools Software Engineering Graduate Intern to contribute to the creation and improvement of software tools that empower developers within and outside Intel.

You will work on design, implementation, testing, and optimization of compiler and runtime technologies using C or C++ in a large codebase, collaborating with mentors and open-source communities to deliver reliable solutions.

Qualifications

  • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering or Applied Mathematics.
  • Graduate‑level coursework or project in data structures/algorithms plus computer architecture, compiler construction, programming languages or operating systems.
  • Proficiency in C or C++ within large software systems.
  • Comfort with a Linux development environment: CLI tools, debugger, Git, build systems.

Responsibilities

  • Design, implement, test or optimize compiler and runtime technologies.
  • Develop and debug software using C or C++ in a large codebase.
  • Create and enhance tests, reproduce defects, analyze failures, and deliver reliable solutions.
  • Evaluate functional correctness, compile-time behaviour, runtime performance, or code quality.
  • Participate in technical discussions, code reviews, and project planning with mentors.

Skills

C/C++
Linux development
Git
Debugging
Code reviews

Education

Master’s degree in CS/CE/EE/Applied Mathematics

Tools

LLVM/MLIR
Clang
Python

Job description

The Role and Impact

As a Development Tools Software Engineering Graduate Intern, you will contribute to the creation and improvement of software tools that empower developers and engineers within and outside Intel. You will be involved in hands‑on coding, debugging, and optimizing solutions that enhance productivity and performance. Your contributions will play a key role in advancing Intel's data‑centric technologies and solutions.

Business Group: You will be joining the Data Center Group (DCG), a dynamic organization focused on delivering innovative technologies that drive the future of computing and connectivity. The group works on cutting‑edge solutions for data centres, cloud environments, and enterprise networks, supporting Intel's broader goal of enabling a world driven by data.

Key Responsibilities
  • Work on the design, implementation, testing, or optimisation of compiler and runtime technologies.
  • Develop and debug software using C or C++ within a large, collaborative codebase.
  • Create and enhance tests, reproduce and resolve defects, analyse failures, and deliver reliable solutions.
  • Evaluate functional correctness, compile-time behaviour, runtime performance, or code quality relevant to the project.
  • Participate in technical discussions, code reviews, and project planning with team members and mentors.
  • Document designs, experiments, findings, and lessons learned while presenting project outcomes to the team.
  • Collaborate with open‑source communities (where applicable) as part of your work.
Qualifications
Minimum Qualifications
  • Currently pursuing a Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical field (able to keep student status for at least 1 year).
  • Graduate‑level coursework or project experience in data structures and algorithms, plus at least one of: computer architecture, compiler construction, programming languages, or operating systems.
  • Proficiency in programming with C or C++ within complex software systems.
  • Comfort with a Linux development environment: command‑line tools, a debugger, Git, and build systems.
Preferred Qualifications
  • Hands‑on experience with LLVM or MLIR or with another compiler ecosystem such as Clang, SYCL/DPC++, Triton.
  • Working knowledge of Python – enough to read and extend test harnesses, build scripts, and benchmarking tools.
  • Research or development experience in CPU/GPU architectures, heterogeneous computing, AI/ML compilation, parallel programming, or performance optimisation.
  • Familiarity with AI frameworks (such as PyTorch), inference engines (such as vLLM or SGLang), and machine‑learning model ecosystems (such as DeepSeek or Hugging Face) is a strong plus.
  • Contributions to open‑source software or experience working in large collaborative codebases.

We are excited to empower you to grow your skills, work on impactful projects, and explore opportunities to contribute to technology that drives global innovation. Join us and be part of creating the tools that shape the future of computing.

Job Type

Student / Intern

Shift

Shift 1 (Germany)

Primary Location

Germany, Munich

Additional Locations

None specified

Equal‑Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, nationality, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

EU Salary

We offer a total compensation package that ranks among the best in the industry. The minimum Annual Salary for this job which could be performed in Germany is: 28 920,00 € The job posting reflects the minimum base compensation for this role. Our standard internship rates are aligned with the specific job role and degree level. As part of our total compensation approach, the final offer may also include additional pay components and benefits. Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on‑site at their assigned Intel site and off‑site.

* Job posting details (such as work model, location or time type) are subject to change.

* Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology.

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