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

Description

Job Details:

Responsibilities

• As a Development Tools Software Engineering Undergraduate Intern, you will actively contribute to Intel's cutting-edge compiler technology, supporting the performance and functionality of Intel's processor platforms across CPUs and GPUs. In this role, you will analyze applications, develop features, resolve software defects, and collaborate across geographies to ensure product quality. Your hands-on contributions will play a vital role in refining Intel's industry-leading development tools while building your own technical expertise.
• Business group
• You will be joining the Data Center Group (DCG), which focuses on delivering innovative solutions that drive data processing, scalability, and efficiency for the world's most critical industries. The DAP Data Frames Product team is central to these efforts, working on foundational software tools that empower developers to maximize the performance and capabilities of Intel's hardware technologies.
• Collaborate with the team to design, implement, and test compiler and runtime technologies, focusing on areas such as optimization, code generation, or intermediate representations.
• Write, debug, and optimize code in C or C++ within a large-scale codebase.
• Create or improve tests to ensure functional correctness and reliability of compiler features, including reproducing defects and analyzing failures.
• Conduct performance evaluations and analyze compiled code quality for runtime efficiency and scalability.
• Participate in code reviews, technical discussions, and project planning with mentors and cross-functional teams.
• Document designs, experiments, and findings, presenting project outcomes to team members.
• Engage in open-source collaborations under team guidance where aligned with project scope.

Requirements

• Minimum Qualifications
• Pursuing a Bachelor's degree in Computer Science, Computer Engineering, Applied Mathematics, Informatics, or a related technical discipline (able to keep student status for at least 1 year).
• Proficiency in C or C++ programming through academic projects, personal initiatives, or internships.
• Coursework or project experience with data structures, algorithms, operating systems, computer architecture, or compiler-related topics.
• Familiarity with software development and debugging tools in Linux or similar environments.
• Preferred Qualifications
• Coursework or project experience specific to compiler construction, including parsing, intermediate representations, optimization, code generation, or runtimes.
• Familiarity with compiler technologies such as LLVM, MLIR, Clang, Triton, or SYCL/DPC++.
• Knowledge of CPU and GPU architecture, heterogeneous computing, or systems programming.
• Experience in Git, automated testing, continuous integration, or open-source development.
• 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:
• Posting Statement:
• 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: 11 870,00 €&xa;&xa;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.