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. 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.
Your mission
Develop edge-AI model quantization flows for different hardware targetsInterface with existing open-source and close-source quantization frameworks for specific model types or hardware featuresIterate with customers to design the best quantization flow for our compiler, and help them build the products they dream ofPartner with a growing open-source community to foster a strong ecosystem around rooflineYour profile
Degree in Computer Science / Electrical Engineering or a related fieldC++ and Python proficiencyExperience working with Machine Learning frameworks like Pytorch, TensorFlow, Jax.Proven understanding of software engineering principles, data structures, design patterns, and algorithmsAmbition 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 cultureNice to haves :
Knowledge and experience in training and deploying quantized deep learning architecturesExperience with AI model exporting and inference engines like ONNX, ExecuTorch, TFLiteKnowledge of AI algorithms, experience with using AI accelerators or compiling to relevant hardwareMeaningful contributions to open-source communitiesExperience working with embedded targets or compiler infrastructure, e.g., LLVM, MLIRAbout 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.