We are seeking a skilled AI Compiler Optimization Engineer to optimize AI model inference performance through advanced compiler technologies. You will focus on performance tuning for CPU or hybrid CPU/XPU heterogeneous architectures, profiling AI frameworks to discover new optimization opportunities, and delivering cutting-edge insights from industry research. Key Responsibilities: Compiler-Based Performance Optimization: Implement compiler techniques (e.g., MLIR level optimizations, LLVM backend optimizations) to enhance inference performance on CPU and CPU/XPU hybrid systems Optimize JIT level compute graphs with operator fusion, memory allocation and etc. for latency/throughput improvements Preferred: Experience with LLVM/MLIR development AI Model Profiling
AI Compiler Optimization Engineer - Edinburgh employer: microTECH Global Limited
microTECH Global Limited is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including access to cutting-edge technology and professional development programs, making it an ideal place for those looking to make a meaningful impact in the AI and video integration space.
