HPC Engineer

Arcus Search; England; On-site; GBP 50,000 - 80,000; Full time

Job summary

An advanced technical opportunity awaits at Arcus Search for a role focused on designing and optimizing high-performance computing environments. The successful candidate will manage complex Linux systems and support simulation-driven workloads. This position requires strong expertise in parallel processing, workload orchestration, and scripting to enhance scientific and engineering capabilities.

Qualifications

• Strong grounding in high-performance compute systems and distributed infrastructure.
• Deep experience managing and tuning Linux-based environments.
• Skilled in scripting and automation for cluster management.

Responsibilities

• Design and deploy modern HPC environments including compute clusters and storage.
• Manage enterprise-grade Linux systems focusing on stability and automation.
• Analyze performance of key simulation software and improve processing efficiency.

Skills

High-performance computing systems

Linux management

Workload orchestration

Scripting in Bash and Python

Parallel execution optimization

Job description

In this role you’ll design and elevate the infrastructure behind high-performance simulation and data-heavy workloads. If you thrive on solving compute challenges at scale and pushing performance boundaries, this is your opportunity to make a measurable impact.You'll support complex engineering environments focused on CFD, FEA, and large-scale modeling, combining advanced Linux expertise, parallel computing techniques, and high-throughput systems to drive scientific and engineering progress.Responsibilities:

• Design and deploy modern HPC environments, including compute clusters, storage, and interconnects
• Manage enterprise-grade Linux systems (primarily RHEL and Rocky), with a focus on stability, automation, and uptime
• Oversee workload orchestration using tools like Slurm, fine-tuned to maximize resource availability
• Analyze and fine-tune performance of key simulation software
• Improve parallel processing efficiency using MPI, OpenMP, or CUDA in CPU/GPU environments
• Use observability platforms such as Grafana to track and respond to system metrics
• Partner with simulation engineers to adapt the compute environment to evolving workload demands
• Create knowledge resources, training materials, and hands-on guidance to support end-users

Experience/Skills:

• Strong grounding in high-performance compute systems and distributed infrastructure
• Deep experience managing and tuning Linux-based environments in technical computing contexts
• Solid hands-on experience with resource management and queuing systems (preferably Slurm)
• Exposure to simulation-driven workloads in engineering or scientific domains
• Skilled in scripting and automation using Bash and Python for cluster management and diagnostics
• Strong understanding of parallel execution models and application-level optimization
• Familiar with high-bandwidth networks (InfiniBand) and distributed storage systems like Lustre or GPFS
• Excellent problem-solving instincts, user-centric thinking, and communication skills