Master Thesis

RooflineAI GmbH; Köln; Hybrid; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A cutting-edge technology firm in Germany is seeking a Master's student in Computer Science or Electrical Engineering to design and implement components for an innovative compiler. The ideal candidate should have expertise in C++ and Python, a solid understanding of software engineering principles, and a desire to engage with the open-source community. Join us to shape the future of edge-AI products with a flexible working environment.

Leistungen

Flexible working conditions

Opportunities for growth

Team events and retreats

Qualifikationen

• Enrolled student at a European top-level university.
• Desire to work with a growing community of open-source contributors.
• Ambition and curiosity to solve complex problems.

Aufgaben

• Design and implement new components of our next generation compiler.
• Iterate with customers to design the best compiler technology.
• Partner with a growing open-source community.

Kenntnisse

C++

Python

Software engineering principles

Data structures

Design patterns

Algorithms

Ausbildung

Master's program in Computer Science/Electrical Engineering

Tools

MLIR

LLVM

Jobbeschreibung

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
• 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

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.