ARM Performance Engineer – Engineering Platforms 

United Kingdom, England, Cambridge 

653141906

Job Overview:

Arm is looking for a Performance Engineer to help optimise compute, storage, and workflow performance across our engineering platform. You’ll focus on identifying inefficiencies, diagnosing bottlenecks, and supporting improvements across large-scale compute clusters and cloud environments.

This role is part of our broader effort to improve infrastructure efficiency and support the evolving demands of high-throughput workloads, including verification and implementation workloads.

You’ll work closely with architects, infrastructure teams, and flow owners to analyze real-world usage and help ensure our systems are tuned for performance and scale.

Responsibilities:

• Analyse performance of compute and storage infrastructure in production
• Identify areas for tuning based on metrics and system behavior
• Support improvements to job configurations and scheduling efficiency
• Help develop tooling and dashboards to surface performance trends
• Collaborate with platform and flow teams to validate and document findings

Required skills and experience:

• Experience working in Linux-based environments, particularly in performance-sensitive contexts
• General experience working in compute or storage-heavy environments
• Exposure to basic job scheduling systems (e.g., LSF, Jenkins, SLURM)
• Familiarity with monitoring tools like Prometheus, Grafana, or Linux-based telemetry
• Familiarity with profiling tools
• Ability to troubleshoot issues related to CPU, memory, I/O, or network performance
• Methodical, data-informed approach to diagnosing and testing changes

"Nice to have" skills and experience:

• Knowledge of how engineering teams use simulation tools or other high-throughput workloads
• Experience with EDA tooling and workflow patterns
• Experience with EDA workflows or engineering compute pipelines

You’ll work on meaningful technical challenges in a supportive and fast-paced environment. This role offers exposure to cutting-edge compute infrastructure and the opportunity to grow into a more senior performance or systems architecture role over time.