System Performance Engineer

AI Systems Performance EngineerLocation: UK / HybridWe are partnering with an innovative technology company developing advanced solutions to improve the performance and efficiency of modern AI systems.The team works on challenging engineering problems across artificial intelligence, software optimisation, and computing platforms. Their work focuses on understanding how complex AI workloads execute and developing new approaches to improve speed, efficiency, and scalability.This is an opportunity to join a highly technical R&D environment where you will work across the AI stack, combining software engineering, performance analysis, and systems-level optimisation to solve complex problems.The RoleAs an AI Systems Performance Engineer, you will work on improving the efficiency and execution of demanding AI workloads across modern computing environments.You will be responsible for:Developing and optimising software components that improve AI workload performanceAnalysing AI models and applications to identify performance bottlenecksImproving execution efficiency across AI frameworks, runtimes, and computing platformsWorking across different layers of the AI stack, from models and algorithms through to underlying systemsBuilding prototypes, benchmarks, and tools to evaluate performance improvementsApplying techniques from performance engineering, software optimisation, and systems analysisInvestigating new approaches to make AI applications faster, more efficient, and more scalableCollaborating with engineers working across software, systems, and hardware domainsWhat We’re Looking ForWe are looking for an engineer with strong experience in AI systems, software optimisation, and performance-focused engineering.You will ideally have:MSc or PhD in Computer Science, Computer Engineering, Mathematics, Physics, or a related technical disciplineExperience optimising compute-intensive workloads, particularly within AI or machine learning environmentsStrong understanding of computer architecture and modern computing systemsExperience with performance analysis tools such as profilers, debuggers, benchmarking tools, or similarStrong programming skills in C++, Python, or comparable languagesExperience investigating complex technical challenges and developing practical solutionsAbility to communicate technical concepts clearly and work effectively within a collaborative engineering teamDesirable ExperienceExperience in any of the following areas would be beneficial:AI inference optimisationMachine learning frameworks and runtimesGPU or accelerated computing environmentsCompiler optimisationKernel developmentHigh-performance computingParallel computingHardware/software interactionLarge-scale AI applications