AI Compiler Optimization Engineer – Edinburgh

Location:

Edinburgh (EH8) – Midlothian, Scotland, United Kingdom

Salary:

market rate

Type:

Permanent

Main Industry:

Search Engineering Jobs

Advertiser:

microTECH Global Ltd

Job ID:

133301546

Posted On:

17 August 2026

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 & Framework Optimization:

-Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks

-Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations)

-Preferred: Experience optimizing models on multiple AI frameworks

Research & Insight Development:

-Track and analyze the latest advancements in AI & compiler research (academic papers, open-source projects)

-Produce actionable insight reports summarizing trends, benchmarks, and potential optimizations

-Preferred: Strong technical writing skills with prior publications or reports

To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesineu.com) you saw this job posting.