We are looking for an Efficiency Engineer to support the data-driven optimization, analysis and maintenance of Arm’s engineering platforms. This role will work as part of a team effort to improve system utilisation / efficiency / cost-performance and touch on forecasting accuracy and infrastructure strategy.

Job Overview

Working within the Productivity Engineering group, you will focus on metrics, automation, data-engineering and problem-solving where applicable to efficiency topics, in a metrics-first / data-driven-decisions environment. This work will drive efficiency, scalability and vendor strategy across HPC compute, cloud, Emulation and FPGA environments.

Responsibilities

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

Required Skills and Experience :

Background in data engineering, analytics, HPC, cloud environments.
Proficiency in Python and data analysis/ML frameworks.
Understanding of distributed compute, HPC, or cloud environments.
Ability to turn complex data into clear, actionable strategy.

“Nice To Have” Skills and Experience :

Knowledge of EDA workflows and semiconductor engineering environments.
Experience with IBM Spectrum LSF or other job schedulers.
Familiarity with NetApp or high-performance storage systems.
Experience applying AI/ML to workload optimization or capacity planning.
Experience building production-grade data pipelines.
Exposure to FPGA and Emulation infrastructure.

In Return: Additional Information

Please note that no relocation package is available for this role.

If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employee only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate.

10x Mindset at Arm

At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Read more about how we bring the 10x mindset to life on the Arm blog .

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Salary Range: £55,300 - £74,800 per year

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