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.

• Develop edge-AI model quantization flows for different hardware targets
• Interface with existing open-source and close-source quantization frameworks for specific model types or hardware features
• Iterate with customers to design the best quantization flow for our compiler, and help them build the products they dream of
• Partner with a growing open-source community to foster a strong ecosystem around roofline

• Degree in Computer Science/ Electrical Engineering or a related field
• C++ and Python proficiency
• Experience working with Machine Learning frameworks like Pytorch, TensorFlow, Jax.
• Proven understanding of software engineering principles, data structures, design patterns, and algorithms
• 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:

• Knowledge and experience in training and deploying quantized deep learning architectures
• Experience with AI model exporting and inference engines like ONNX, ExecuTorch, TFLite
• Knowledge of AI algorithms, experience with using AI accelerators or compiling to relevant hardware
• Meaningful contributions to open-source communities
• Experience working with embedded targets or compiler infrastructure, e.g., LLVM, MLIR

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.