HPC Platform Efficiency Engineer

Arm; Cambridge; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

Arm is seeking an Efficiency Engineer to support data-driven optimization, analysis and maintenance of its engineering platforms. The role focuses on improving HPC compute efficiency, forecasting accuracy, and infrastructure strategy within the Productivity Engineering group.

You will develop dashboards, analyze CUR and metrics, and collaborate with engineering, operations and finance teams to drive scalable analytics and cost-aware decision making across large-scale environments.

Qualifications

• Background in distributed HPC, cloud environments, data engineering & analytics.
• Knowledge of EDA workflows and semiconductor engineering environments.
• Proficiency in Python and data analysis/ML frameworks.
• Ability to turn sophisticated data into clear, actionable strategy.

Responsibilities

• Platform Optimization and Systems Engineering: Contributing to improvements in HPC scheduling and infrastructure efficiency.
• Assist with performance benchmarking activities, to help support platform decisions.
• Observability and Performance Analysis: Developing dashboards and visualisations.
• Cost and Resource Optimisation: Analysing Cost and Usage Reports (CUR) and infrastructure metrics to support forecasting, budgeting, and optimization strategies for large-scale compute environments.
• Build and maintain scalable analytics frameworks to measure utilisation, capacity, and workload behaviour.
• Partner with engineering, operations, and finance teams to ensure data-driven decision making.

Skills

Distributed HPC, cloud environments,  

EDA workflows knowledge

Python and data analysis/ML frameworks

Data-driven decision making/strategy

Tools

IBM Spectrum LSF

NetApp storage systems

AI/ML for workload optimization

FPGA/Emulation infrastructure

Job description

Arm is seeking an Efficiency Engineer to support data-driven optimization, analysis and maintenance of its engineering platforms. The role focuses on improving HPC compute efficiency, forecasting accuracy, and infrastructure strategy within the Productivity Engineering group.

You will develop dashboards, analyze CUR and metrics, and collaborate with engineering, operations and finance teams to drive scalable analytics and cost-aware decision making across large-scale environments.