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# AI System Researcher

- **Company:** microTECH Global Limited
- **Location:** Edinburgh, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Profiling, Distributed Systems, Fault Tolerance, Systems Theories, Python (Programming Language), Machine Learning, Performance Tuning, AI Infrastructure, Load Balancing, Large Language Models, Information Technology, Machine Learning Operations, TensorRT
- **Published:** August 6, 2026
- **Apply:** https://www.totaljobs.com/job/ai-researcher/microtech-global-ltd-job107803964

## About the Role

We are seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure.

Required Qualifications and Skills:

· Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.

· Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure.

· Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization.

· Proficiency in C/C++, with additional experience in Python for research prototyping.

· Solid grounding in systems research methodology, distributed algorithms, and profiling tools.

· Team-oriented mindset with effective technical communication skills.

Desired Qualifications and Experience:

· PhD in systems, distributed computing, or large-scale AI infrastructure.

· Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR).

· Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale AI inference clusters.

· Prior experience designing, deploying, and profiling high-performance cloud or AI infrastructure systems.



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