INTERNSHIP DETAILS
Master Thesis
CompanyRoofline
LocationCologne
Work ModeOn Site
PostedApril 2, 2026

Internship Information
Core Responsibilities
Design and implement new components for a next-generation compiler based on MLIR. Collaborate with the open-source community and iterate with customers to optimize compiler technology and user experience.
Internship Type
intern / student
Company Size
30
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
On a mission to enable the edge AI products you dream of.
AI at the edge is rapidly evolving. Novel models, such as LLMs, emerge quickly and make technological predictions challenging. At the same time, hardware solutions are diversifying and increasing in complexity.
Traditional deployment methods cannot keep up with this pace and have become major adoption barriers for edge AI. They come with low adaptability, limited performance, and are painful to use.
Roofline revolutionizes this process with a software solution that offers unmatched flexibility, top performance, and simplicity. Import models from any framework and deploy them across diverse hardware with just a single Python call.
About the Role
Who we are
Roofline is building a software development kit to run any model on disruptive hardware at the edge. We are looking for talented and ambitious engineers that are passionate about technology to design and implement new components in our software stack. You will work alongside other world class engineers to enable the full spectrum of AI applications across heterogeneous hardware platforms.Why us?
- The opportunity to grow. Be at the forefront of building and shaping an industry-defining venture. There are plenty of opportunities to learn and evolve.
- The team to succeed. We are building the leading AI compiler team in Europe. Join our future-focused team to contribute to meaningful, disruptive innovations with us.
- The flexibility you need. We want you to work in the most productive and sustainable way. Whether you need to take extra time off, adjust your schedule, or have other ideas to maximize your productivity, we’ve got your back.
- The compensation that rewards. We are looking for world class talent and pay accordingly.
- The culture you desire. We actively make space to build our culture. We organize dedicated regular events and retreats for the whole team.
Your mission
- Design and implement new components of our next generation compiler build upon MLIR
- Explore novel optimization techniques
- Iterate with customers to design the best compiler technology and the best user experience possible
- Partner with a growing open-source community to foster a strong ecosystem around roofline
- The following thesis topics are currently available, please highlight your preferred topic/area in your application:
- MLIR Interpreter
- Optimizing performance with vector instructions for RISC-V
- Blockbuster (new tiling strategy)
Your profile
- Enrolled student at a European top-level university. (We have relationships to RWTH (Aachen), LMU (Munich) and EPFL (CH), which eases the path to finding a supervisor for students from these unis).
- Enrolled in a Master's program in Computer Science/ Electrical Engineering or a related field
- Knowledge and hands-on experience in C++ and Python
- Proven understanding of software engineering principles, data structures, design patterns, and algorithms
- Desire to work with a growing community of open-source contributors
- Ambition and curiosity to solve complex problems, a strong mindset to take ownership of your tasks to drive our solutions forwards, and collaborative attitude to foster our culture
Nice to haves:
- Experience working with MLIR or LLVM.
- Knowledge of AI algorithms, experience with using AI accelerators or compiling to relevant hardware
- Knowledge of data motion networks, data flow programming models, and optimized AI libraries
- Knowledge about hardware architectures for CPUs, GPUs, or NPUs/accelerators is a plus
About us
At RooflineAI, we enable the edge-AI products you dream of. Our mission is simple: To bring the power of chips into the hands of innovators, and to make it radically easier to use cutting-edge AI models on the best hardware.Key Skills
C++PythonMLIRLLVMCompiler designSoftware engineeringData structuresAlgorithmsRISC-VVector instructionsAI acceleratorsData flow programmingHardware architectureOpen-source contribution
Categories
SoftwareEngineeringTechnologyScience & Research
Benefits
Flexible scheduleTeam eventsRetreatsCompetitive compensation
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