Systems Research Engineer - Distributed Systems / C++
We are currently partnered with a globally leading research centre in the UK looking to expand their team with a Systems Research Engineer. This is an incredibly high calibre team reshaping how large-scale models are trained and served through next-generation AI-native infrastructure and \"super-node\" clusters.
This is a permanent opportunity based onsite in Edinburgh.
Key responsibilities for this Systems Research Engineer position:
* Architect and implement distributed system components for AI workloads across CPU, GPU, and NPU clusters.
* Conduct in-depth profiling and performance tuning of inference pipelines, focusing on KV cache management.
* Develop low-latency, fault-tolerant AI serving frameworks using vLLM, Ray Serve, and PyTorch Distributed.
* Research and prototype novel techniques for cache sharing, data locality, and resource orchestration.
* Translate innovative designs into publishable contributions at top-tier venues (e.g., OSDI, NSDI, MLSys).
* Collaborate with global research teams to drive the internal adoption of novel system architectures.
Key Requirements:
* Preferably a PhD, at minimum a masters degree, in Computer Science, distributed systems, or related field.
* Strong knowledge of Distributed Systems, OS internals, and Machine Learning systems architecture.
* Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM, or TGI).
* Proficiency in C/C++ for systems development and Python for research prototyping.
* Solid grounding in distributed algorithms, load balancing, and state management.
* Proven ability to conduct systems research, ideally evidenced by publications in top-tier conferences.
1. Keywords: Systems Research Engineer / Distributed Systems / AI Infrastructure / LLM Serving / vLLM / KV Cache / Performance Optimization / Machine Learning Systems / C++ / Python / Ray Serve / PyTorch Distributed / Cloud Infrastructure
If you are interested in this Systems Research Engineer position, please send a copy of your CV to
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