> Markdown version of [/jobs/ext/4637245-software-engineer-systems-ml-compilers](https://www.wearedevelopers.com/jobs/ext/4637245-software-engineer-systems-ml-compilers). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Systems ML - Compilers - **Company:** The Meta Game, Inc. - **Location:** New York, NY, United States - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, C++ (Programming Language), Compilers, Code Generation, Software Code Optimization, Computer Engineering, Performance Tuning, Tensorflow, Software Engineering, Toolchain, Graphics Processing Unit (GPU), Pytorch, On-device Inference, Multi-Agent Systems, Prompt Engineering, Information Technology, TensorRT, MLIR (Multi-Level Intermediate Representation) - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25197_38ac4d44b1a25250081902d09ea88d17 ## About the Role execution across teams, and mentor engineers on compiler design patternsConduct design and code reviews, evaluate code performance, and drive resolution of compiler and cross-disciplinary system issuesInterface with other compiler-focused teams (PyTorch, ExecuTorch) to evaluate and incorporate innovationsMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience3+ years of experience in developing compilers, toolchains, or code optimization softwareExperience with LLVM, MLIR, or similar compiler infrastructure frameworksExperience in designing intermediate representations and implementing compiler optimization passesExperience with hardware architectures such as GPUs, TPUs, or custom AI acceleratorsExperience in software development using C++ for compiler and systems-level programmingExperience leading end-to-end technical design and delivery of compiler infrastructure initiatives across multiple teamsPreferred Qualifications:Experience developing in ML frameworks such as PyTorch or TensorFlow at the system levelExperience co-designing software and hardware features with silicon architecture teamsDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience with ExecuTorch, TensorRT, XLA, or similar ML compilation and deployment frameworksExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience with power and performance optimization for resource-constrained edge devicesDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience with machine-code generation or compiler back-ends targeting edge or on-device inference workloadsAbout Meta:Meta builds technologies that help people ## Description 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:Lead the architecture and implementation of ML compiler infrastructure, including intermediate representations (IR), optimization passes, and code generation targeting custom AI acceleratorsDesign and implement compiler transformations informed by hardware architecture constraints for GPU, TPU, and edge AI acceleratorsDrive the development of LLVM/MLIR-based toolchains for compiling PyTorch models to optimized binaries for custom siliconWork with hardware architects to co-design compiler features that maximize performance, power efficiency, and programmability for edge devicesAnalyze and improve the efficiency, scalability, and stability of compiler toolchains, ensuring they can be extended to new hardware targetsLead technical roadmapping for compiler infrastructure initiatives, coordinate