> Markdown version of [/jobs/ext/1973498-software-engineer-systems-ml-compilers-backend](https://www.wearedevelopers.com/jobs/ext/1973498-software-engineer-systems-ml-compilers-backend). 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 / Backend - **Company:** The Meta Game, Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Compilers, Code Generation, Program Optimization, Software Debugging, Firmware, Python (Programming Language), Machine Learning, Toolchain, Application Specific Integrated Circuits, Pytorch, Backend, Build Management, Scikit Learn - **Published:** August 7, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-systems-ml-compilers-backend-new-york-ny-usa-58825594 ## About the Role 2026-08-07 * Contribute to ML libraries, IRs, export formats, and analysis tools * Improve toolchain scalability, stability, and efficiency; optimize kernels and generated code for latency targets * Conduct design and code reviews; debug and resolve cross-disciplinary issues * Interface with other compiler teams to adopt innovations Tasks * Bachelor's degree in CS/CE or related field or equivalent experience * 2+ years in compilers, toolchains, runtime, or code optimization * Proficiency in Python and/or C/C++ for development and performance analysis * Experience in AI framework development or accelerating models on hardware (GPU/TPU/custom ASICs) Key requirements * ## Description Experteer Overview In this role you design and build a clean-slate compiler toolchain for on-device ML accelerators in AR/VR hardware. You work with compiler, ML algorithms, firmware and ASIC experts to map PyTorch models to custom hardware blocks. You will contribute to a full-stack effort that targets power-efficient, high-performance inference on wearable AI devices. You join a cross-functional team solving challenges from graph mapping to code generation, with a strong impact on on-device AI capabilities. This is a mission-driven opportunity to push the state of the art in compiler technology for immersive experiences. Compensation / Benefits * Analyze and design compiler passes and optimizations for ML accelerators * Implement and enhance code generation targeting ML hardware blocks * Collaborate with algorithm researchers to map ML graphs to hardware, assessing cost and silicon implications * Co-design hardware features with architects to improve performance, power, and programmability * Contribute to ML libraries, IRs, export formats, and analysis tools * Improve toolchain scalability, stability, and efficiency; optimize kernels and generated code for latency targets * Conduct design and code reviews; debug and resolve cross-disciplinary issues * Interface with other compiler teams to adopt innovations Tasks * Bachelor's degree in CS/CE or related field or equivalent experience * 2+ years in compilers, toolchains, runtime, or code optimization * Proficiency in Python and/or C/C++ for development and performance analysis * Experience in AI framework development or accelerating models on hardware (GPU/TPU/custom ASICs) Key requirements * ## Related Videos - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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