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Software Engineer for Host Compiler and Runtime
vor 3 Wochen
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. 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 organize dedicated regular events and retreats for the whole team.
- Extend and evolve our host compiler and runtime to execute compiled models efficiently on novel and emerging hardware platforms.
- Coordinate CPU, GPU, and NPU execution to unlock the full performance potential of heterogeneous systems.
- Work at the boundary between our MLIR compiler and C-based runtime, shaping how compiled models are represented and executed.
- Design and implement new components of our next generation compiler build upon MLIR.
- Partner with a growing open-source community to foster a strong ecosystem around roofline.
- Knowledge and hands-on experience in C and C++
- Theoretical or practical exposure to compiler concepts
- Degree in Computer Science/ Electrical Engineering or a related field
- 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
- Experience with frameworks like Vulkan, Cuda, Metal or OpenCL
- 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 of CPUs, GPUs, or NPUs/accelerators is a plus
- Experience with Python
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.
