Software Engineer, Systems ML - Compilers​/Backend

Position: Software Engineer, Systems ML - Compilers / Backend
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.

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 map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate 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

Analyze and improve the efficiency, scalability, and stability of our tool chains. Optimize and tune kernels and compiled code to achieve latency targets for ML inference

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:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience2+ years experience developing compilers, tool chains, 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 (GPU, TPU, custom AI ASICs)

Preferred Qualifications:

Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe

Experience with machine-code generation or compiler back-ends for on-device inference workloads

Experience working and communicating cross functionally in a team environment

Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally…