Salary: £15,000 - 20,000 per year Requirements: Proven background in high-performance computing, including hands-on use of Beowulf-style cluster environments Strong practical knowledge of Slurm job scheduling and MPI job optimization Demonstrated experience with MPI-aware container technologies (Apptainer/SIF, OpenMPI, Podman, Buildah) Ability to run structured interviews, technical workshops, and cross-team engineering sessions Experience supporting typical HPC, ML, and scientific workloads Knowledge of CFD software (e.g., OpenFOAM) (desirable) Familiarity with Kubernetes or Singularity as an HPC runtime, GPU slicing, and image lifecycle governance (desirable) Experience contributing written outputs such as market assessments of HPC container technologies (desirable) Responsibilities: Assess existing HPC infrastructure and workloads through customer workshops and interviews Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases Analyze current HPC/ML workloads to identify performance constraints, containerization opportunities, and runtime optimization options Produce a strategy for MPI-optimized container images using tools such as Apptainer/Singularity (SIF), OpenMPI, Podman, and Buildah Outline repeatable, secure build pipelines for HPC workloads based on report findings Identify opportunities to align container platforms with HPC orchestration requirements (batch, interactive, scientific workflows) Lead technical discussions, workshops, and training sessions to upskill engineering and research teams on containerization and HPC best practices Produce concise written reports outlining recommendations, findings, use cases, future strategy, HPC market view, next steps, and architectural patterns Technologies: Kubernetes Podman AI Data-Science More: We are a leading Defence organisation based in Derby, specializing in the modernisation of High-Performance Computing (HPC) environments. We offer a dynamic and collaborative work environment, providing high-level consultancy and engineering expertise that focuses on containerisation of HPC and HPC/ML workloads. Our team is dedicated to delivering technical excellence and innovative solutions, making a significant impact in the field of HPC. last updated 6 week of 2026