We are seeking an experienced and analytical HPC Engineer to take ownership of the reliability, availability, and performance of our High-Performance Computing (HPC) platforms. In this role, you will support critical engineering, simulation, and analytical workloads, ensuring our compute, storage, networking, and scheduling environments are optimised to deliver scalable, high-throughput results.
You will act as the technical escalation point for complex platform incidents, performance bottlenecks, and capacity challenges, while helping shape the long-term technical direction of our
HPC infrastructure.
Key Responsibilities
- Platform Ownership: Maintain the stability, security, and performance of Linux-based HPC clusters, compute nodes, and shared platform services.
- Workload & Service Optimization: Enhance compute, storage, networking, and scheduling services to maximize simulation throughput and resource utilization.
- Incident & Problem Resolution: Serve as the technical escalation lead for complex incidents, hardware/OS faults, network/storage latency issues, and queue bottlenecks.
- Automation & Efficiency: Automate repetitive operational tasks and deployments using Bash, Python, PowerShell, Ansible, or equivalent tooling.
- Lifecycle & Capacity Management: Drive proactive monitoring, performance tuning, benchmarking, and capacity forecasting to stay ahead of engineering demand.
- Maintenance & Change Delivery: Plan and deliver maintenance, OS patching, system upgrades, and hardware refreshes safely with minimal service disruption.
- Strategic Input: Help define and guide the strategic roadmap for HPC architectures, collaborating closely with internal engineering teams and external technology vendors.
What We Are Looking For
Core Technical Skills & Experience:
- Proven track record supporting Linux-based HPC, scientific computing, high-throughput compute, or simulation environments.
- Deep knowledge of workload managers and schedulers (e.g., Slurm, PBS, LSF, or equivalent).
- Solid understanding of scale-out storage, parallel file systems, data lifecycle management, archive, and backup strategies.
- Practical knowledge of high-performance networking, interconnects, low-latency architectures, bandwidth considerations, and data locality.
- Hands-on scripting and automation capability (Python, Bash, PowerShell, Ansible).
- Demonstrated experience troubleshooting across the full stack—from bare-metal hardware and operating systems to application licensing and user workflows.
- Strong background in platform security, vulnerability management, access controls, and compliance for multi-tenant, shared computing environments.
Mindset & Approach:
- Methodical problem-solver who remains calm and structured when troubleshooting high-priority issues.
- Proactive mindset focused on reducing technical debt, preventing repeat incidents, and optimizing performance.
- Collaborative communicator who can translate complex technical requirements into reliable production services.
- Direct experience supporting Computational Fluid Dynamics (CFD), finite element analysis (FEA), motorsport/automotive engineering, or data science workloads.
- Relevant technical certifications in Linux administration, HPC, networking, storage, automation, or ITIL frameworks.
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HPC Engineer in Northampton employer: Osmii
Join a forward-thinking company in London that champions innovation and collaboration, offering a flexible hybrid working environment. As a Data Scientist, you'll not only work on cutting-edge Generative AI solutions but also benefit from a culture that prioritises employee growth through continuous learning and cross-functional teamwork. With access to the latest technologies and a commitment to diversity and inclusion, this role provides a unique opportunity to make a meaningful impact in the field of AI.
