High Performance Computer Scientist /HPC Developer

We are looking for an exceptional HPC Engineer to design and optimise some of the most demanding computational systems. This role is focused on solving difficult engineering problems at scale, working with advanced computing infrastructure, distributed systems and performance-critical workloads. We are seeking someone with outstanding technical ability who enjoys understanding systems deeply, from hardware and operating systems through to software optimisation and large-scale computation. About the RoleYou will work on the design, optimisation and operation of high-performance computing environments. You will be responsible for improving computational efficiency, building reliable infrastructure and solving complex challenges involving large-scale workloads. This is a highly technical role suited to someone with exceptional analytical ability and a passion for pushing the limits of computing performance. Key Responsibilities • Design and optimise high-performance computing environments. • Build and maintain large-scale Linux-based compute infrastructure. • Improve performance through profiling, benchmarking and optimisation. • Develop automation tools for managing complex computational systems. • Work with distributed computing workloads and parallel processing environments. • Diagnose and resolve challenging infrastructure and performance issues. • Optimise resource utilisation across compute, storage and networking systems. • Develop solutions for reliability, scalability and operational efficiency. • Collaborate with engineers and researchers on computationally intensive projects. About You • Exceptional academic background from a leading UK university. • Degree in Computer Science, Mathematics, Physics, Engineering or a related quantitative discipline. • Strong programming ability in Python, C++, C, Rust or Fortran. • Deep understanding of Linux systems and computer architecture. • Strong knowledge of algorithms, performance optimisation and systems engineering. • Ability to analyse complex technical problems and develop elegant solutions. • Genuine interest in low-level systems, computing performance and large-scale infrastructure. Strong Signals • First-class degree or exceptional academic record. • Experience with HPC, supercomputing or large-scale distributed systems. • Research experience involving computational workloads. • Experience with parallel programming (MPI, OpenMP, CUDA). • Knowledge of scheduling systems such as Slurm, PBS or LSF. • Contributions to technical projects, open source or research communities. • Experience working with advanced computing environments. Academic FocusWe are particularly interested in exceptional candidates from the UK's strongest technical universities, including those with backgrounds in Computer Science, Mathematics, Physics and Engineering. We value demonstrated problem-solving ability, technical depth and evidence of tackling genuinely difficult computational challenges over years of experience alone. HPC Engineer – Keyword ListHPC Engineer, High Performance Computing Engineer, Research Engineer, Systems Engineer, Infrastructure Engineer, Compute Engineer, Software Engineer, Linux Engineer, Distributed Systems Engineer, Supercomputing, High Performance Computing, HPC, Linux, Unix, Systems Programming, Computer Architecture, Operating Systems, Parallel Computing, Distributed Computing, Cluster Computing, Compute Clusters, Cloud HPC, Large Scale Computing, Scientific Computing, Numerical Computing, Computational Science, Computational Engineering, Performance Engineering, Performance Optimisation, Benchmarking, Profiling, Low Level Programming, C++, C, Python, Fortran, Rust, CUDA, GPU Computing, GPU Acceleration, Parallel Programming, MPI, OpenMP, Multithreading, Concurrency, Algorithms, Data Structures, Systems Design, Kernel Development, Networking, Storage Systems, Distributed Storage, Automation, Infrastructure Automation, Shell Scripting, Bash, Slurm, PBS, LSF, Workload Scheduling, Resource Management, Linux Administration, Server Infrastructure, Cloud Infrastructure, AWS HPC, Azure HPC, Data Processing, Machine Learning Infrastructure, AI Infrastructure, Scientific Research,