Software Engineer, Systems ML - Compilers / Backend

Meta; Austin (TX); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta Reality Labs in Austin, TX seeks a Software Engineer for Systems ML - Compilers/Backend to compile PyTorch models for custom AI accelerators. You will design compiler passes, enhance code generation, and collaborate with ML and hardware teams to optimize performance and power efficiency.

The role emphasizes full-stack compiler work across IRs, export formats, and analysis tools, with engineers from ML, firmware, and ASIC teams. Requires 2+ years in compilers and Python/C++ experience.

Qualifications

• Bachelor's degree in CS, CE, or related field.
• 2+ years experience developing compilers, toolchains, or runtimes.
• Proficiency in Python and/or C/C++ for development, debugging and performance analysis.
• Experience in AI framework development or accelerating models on hardware architectures.

Responsibilities

• Analyze and design effective compiler passes and optimizations.
• Implement and/or enhance code generation targeting ML accelerators.
• Map ML graphs to hardware implementations and analyze data flows.
• Optimize kernels and compiled code to meet latency targets for ML inference.
• Conduct design and code reviews and collaborate with cross-functional teams.

Skills

Python

C/C++

PyTorch

MLIR

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

MLIR

TensorFlow

Caffe

Job description

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 acceleratorsWork with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performanceWork with hardware architects to co-design hardware features that maximize performance, power efficiency and programmabilityContribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis toolsAnalyze and improve the efficiency, scalability, and stability of our toolchains. Optimize and tune kernels and compiled code to achieve latency targets for ML inferenceConduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issuesInterface with other compiler-focused teams to evaluate and incorporate their innovations and vice versaMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience2+ years experience developing compilers, toolchains, runtime, or similar code optimization softwareExperience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysisExperience 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 CaffeExperience working and communicating cross functionally in a team environmentDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience 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, etcDemonstrated 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 platformsAbout 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.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 protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$154,003/year to $217,000/year + bonus + equity + benefitsIndividual 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.