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:
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Implement compiler techniques (e.g., MLIR level optimizations, LLVM backend optimizations) to enhance inference performance on CPU and CPU/XPU hybrid systems
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Optimize JIT level compute graphs with operator fusion, memory allocation and etc. for latency/throughput improvements
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Preferred: Experience with LLVM/MLIR development
AI Model Profiling & Framework Optimization:
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Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks
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Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations)
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Preferred: Experience optimizing models on multiple AI frameworks
Research & Insight Development:
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Track and analyze the latest advancements in AI & compiler research (academic papers, open-source projects)
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Produce actionable insight reports summarizing trends, benchmarks, and potential optimizations
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Preferred: Strong technical writing skills with prior publications or reports
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Locations
AI Compiler Optimization Engineer - Edinburgh in Dunfermline, Fife employer: microTECH Global LTD
As a Senior Electronics Designer at our Luton location, you will thrive in a dynamic and innovative work culture that prioritises collaboration and creativity. We offer competitive benefits, including flexible remote/hybrid working options, and a strong commitment to employee growth through continuous learning opportunities and professional development. Join us to be part of a forward-thinking team where your contributions directly impact the success of cutting-edge technology solutions.
