Software Engineer, Systems ML - Compilers / Backend

Meta • Menlo Park, CA • 1h ago

Summary:

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.

Required Skills:

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 toolchains. 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 experience

2+ years experience developing compilers, toolchains, 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 working and communicating cross functionally in a team environment

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

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

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

Public Compensation:

$74.04/hour to $217,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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 stereo@types, 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 accommodations-ext@meta.com.

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