At a Glance
- Tasks: Optimise AI model performance using advanced compiler technologies and profiling techniques.
- Company: Join a leading tech firm in Edinburgh focused on AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Be at the forefront of AI technology and make a significant impact in the field.
- Qualifications: Experience with LLVM/MLIR and a passion for AI model optimisation.
The predicted salary is between 63000 - 77000 £ per year.
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 LTD
Microtech Global Ltd is an exceptional employer, offering a vibrant work culture in the heart of Cambridge, UK, where innovation thrives. Employees benefit from engaging in pioneering projects like OpenTitan and Ibex RISC-V CPU, alongside opportunities for professional growth and collaboration with industry leaders. With a focus on cutting-edge technology and a supportive environment, this role is perfect for those seeking meaningful and rewarding employment in digital design verification.
