Software Engineer, Systems ML - Compilers / Backend

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 *

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 *