Software Engineer, Systems ML - Compilers
✨ AI Summary
Meta Reality Labs, developing custom silicon for AR/VR and wearable AI devices, is hiring a Software Engineer for Systems ML Compilers. The role involves building a clean-slate compiler toolchain to compile PyTorch models into binaries for custom hardware accelerators. The tech stack includes PyTorch, compiler development, and ASIC/firmware integration. No specific years of experience or salary range are mentioned.
Reality Labs (RL) focuses on delivering Meta's vision through Virtual Reality (VR), Augmented Reality (AR) and Wearable AI Devices. The compute performance and power efficiency requirements of our AI devices require custom silicon. Reality Labs Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will unlock personalized on-device AI capabilities and blend virtual, physical worlds on wearable devices. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.
We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.
About the Company
At Meta, we believe in impact and building a career where you’re challenged and valued in teams that are the best at what they do. Join us as we create and innovate the technologies of the future. We are advancing AI for a connected world. From developing category defining products to testing and launching wearables at global scale, there are many ways you can help us build the future of human connection and the technology that makes it possible.
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