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AI Compiler Engineer (Junior)

RooflineAI GmbH

Deutschland

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Vor 22 Tagen

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Zusammenfassung

A leading AI technology company in Germany is seeking talented engineers to design and implement components for a next-generation compiler built upon MLIR. You will explore novel optimization techniques, iterate with customers to enhance user experience, and partner with a growing open-source community. Ideal candidates have a degree in Computer Science or Electrical Engineering, are proficient in C++ and Python, and possess a strong understanding of software engineering principles. The role offers flexibility, competitive compensation, and a collaborative culture.

Leistungen

Competitive salary
Equity for employees
Flexible working conditions
Team retreats and culture building
Growth opportunities

Qualifikationen

  • Hands-on experience in C++ and Python required.
  • Desire to work with an open-source community is essential.
  • Ability to solve complex problems with ownership and collaboration.

Aufgaben

  • Design and implement new components of the next generation compiler.
  • Explore novel optimization techniques.
  • Iterate with customers for best user experience.

Kenntnisse

C++
Python
Software engineering principles
Data structures
Design patterns
Algorithms

Ausbildung

Degree in Computer Science or Electrical Engineering
Jobbeschreibung
Offer Description

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 grow
  • 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. You need to move countries or take additional time off to recharge? We got you covered
  • The compensation that rewards. We are looking for world class talent and pay accordingly. We offer equity for every employee since we truly want you to participate in our success
  • The culture you desire. We actively make space to build our culture. We bring you on site regularly and organize dedicated 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

Your profile

  • Degree 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.
  • Meaningful contributions to open-source compiler communities
  • 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 Roofline, our mission is to simplify AI deployment at the edge. We push the boundaries of edge AI computing by transforming how AI models are deployed on diverse hardware, offering unparalleled flexibility and performance.

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