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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Research Engineer (AI Infrastructure & Distributed Systems - **Company:** European Tech Recruit - **Location:** Edinburgh, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Cloud Computing, Profiling, Computer Programming, Microprocessors, Distributed Systems, Memory Management, Fault Tolerance, Systems Theories, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Distributed Caching, AI Infrastructure, Graphics Processing Unit (GPU), Load Balancing, Cloud Platform System, Caching, AI Platforms, Information Technology - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815460286-systems-research-engineer-ai-infrastructure--distributed-systems ## About the Role * PhD in Computer Science, Electrical Engineering, or a related discipline. * Strong foundation in distributed systems and operating systems principles. * Understanding of machine learning infrastructure and large-scale model serving. * Experience with systems-level programming in C/C++. * Proficiency in Python for experimentation and rapid prototyping. * Familiarity with distributed algorithms and system design trade-offs. * Experience using performance analysis and profiling tools. * Ability to communicate complex ideas clearly and work effectively in collaborative environments. * Contributions to recognised systems or machine learning conferences. * Hands-on experience with load balancing, fault tolerance, or cluster scheduling. * Exposure to distributed caching, state management, or high-performance cloud systems. * Experience building or optimising large-scale AI or cloud infrastructure. ## Description A pioneering research-focused engineering team is seeking Systems Research Engineers to help shape the next generation of AI-native infrastructure. This role sits at the intersection of systems research and large-scale engineering, focusing on distributed architectures that support the training, serving, and deployment of advanced AI models. The rapid evolution of large-scale AI models is transforming how modern computing systems are designed and deployed. A highly advanced research-driven engineering group is building the next wave of infrastructure that powers intelligent systems at scale-redefining how models are trained, served, and optimised across distributed environments. This role offers a unique blend of hands-on engineering and forward-looking research, ideal for engineers who want to push the boundaries of distributed systems and AI infrastructure while working on real-world, high-impact platforms. What You'll Work On * Build and experiment with distributed system components tailored for data-intensive and AI-driven workloads. * Design scalable infrastructure capable of operating across diverse hardware environments including CPUs, GPUs, and accelerators. * Develop high-performance model serving systems with a focus on efficiency, scalability, and resilience. * Analyse system behaviour using profiling tools to uncover performance bottlenecks and optimisation opportunities. * Improve memory usage, caching strategies, and scheduling efficiency in large-scale inference systems. * Create solutions that enable low-latency, multi-tenant AI services in distributed environments. * Explore and prototype new approaches to inference architecture and cluster-level orchestration. * Translate technical innovations into tangible outcomes, including internal adoption and external publications. * Work closely with global teams to shape long-term infrastructure direction and strategy. ## Related Videos - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [This App Reached 10,000 Users in One Week. 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