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.

Software Engineer, Systems ML - Compilers Responsibilities

Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues Analyze and improve the efficiency, scalability, and stability of our toolchains Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 2+ years experience developing compilers, runtime, or similar code optimization software Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis Experience in AI framework development or accelerating models on hardware architectures Preferred Qualifications Experience working and communicating cross functionally in a team environment. Experience with machine-code generation or compiler back-ends. Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow. Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc. Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe.

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About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

70,67 USD/hour to 208 000 USD/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity

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