Bolton
An exciting opportunity for a passionate HPC Architect to join a unique, multi‑national Information Management function. Ideal candidates should be committed to the future of software‑defined data centres, open‑source technologies, and supporting an engineering community in a dynamic, fast‑paced development environment.
Salary: Up to £75,000 depending on experience
Dynamic (hybrid) working: 2‑3 days per week on‑site due to workload classification
Security Clearance: This role requires DV clearance. Nationality and work‑rights may apply. All successful candidates must undergo HMG Basic Personnel Security Standard checks (BPSS) after the offer.
What we can offer you
* Company Bonus: up to 21% of base salary
* Pension: up to 14% employer and employee contribution
* Flexible working arrangements
* Enhanced parental leave: up to 26 weeks for maternity, adoption and shared parental leave; enhancements for paternity, neonatal leave and fertility treatment
* Facilities: subsidised meals, free parking and more
* Healthcare Cash Plan: cashback on healthcare expenses such as optical, dental, health, wellbeing and more
The opportunity
We are seeking a forward‑thinking HPC Architect with expertise in storage and infrastructure to define the long‑term future roadmap of HPC environments within MBDA. You will ensure alignment with business objectives, build scalable and high‑throughput infrastructure, and manage HPC environments including compute nodes, storage and interconnects. The role involves collaboration with engineering and cross‑functional stakeholders.
Key Responsibilities
* Architecture & Strategy – define the long‑term HPC architecture roadmap aligned with organisational goals
* Evaluate and select technologies across compute, storage, networking, and cloud HPC
* Establish standards, reference architectures, and best practices
System Design & Engineering Oversight
* Architect large‑scale HPC clusters, including CPU, GPU, and accelerator‑based systems
* Design high‑performance networking (InfiniBand, RDMA, high‑speed Ethernet)
* Define storage architecture (parallel file systems, object storage, tiered storage)
* Provide technical leadership and oversight to HPC engineering and operations teams
Performance & Scalability
* Design systems for optimal throughput, latency, and scalability
* Lead performance benchmarking, capacity planning, and workload modelling
* Identify and eliminate architectural bottlenecks
Workload & Software Ecosystem
* Define strategies for workload orchestration (SLURM, Kubernetes for HPC, etc.)
* Guide software stack design (MPI, CUDA, compilers, libraries, containers)
* Ensure reproducibility, portability and performance of workloads
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