Software Engineer, Systems ML - Compilers​/Backend

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 / Backend 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 support the co-design of hardware features mapping ML graphs to hardware implementations, modeling data-flows, creating cost-benefit analysis and estimating silicon power and performance

Work with hardware architects to co-design hardware features that maximize performance, power efficiency and programmability

Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools

Collaborate with the team to enhance the efficiency, scalability, and stability of our tool chains by focusing on kernel optimization and tuning

Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues

Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa

Minimum Qualifications:

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 (GPU, TPU, custom AI ASICs)
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Experience working and communicating cross functionally in a team environment

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)1+ years of experience developing compilers or similar code optimization software

Experience developing high-performance kernels or runtime components and tuning them for inference specific accelerator platforms

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 Whats App 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.

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