Arm
Efficiency Engineer

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Job Overview
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.
Working within the Productivity Engineering group, there will be a focus on metrics, automation, data-engineering, and problem-solving where applicable to efficiency topics, in a metrics-first / data-driven-decisions environment. We expect this work to drive 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.
- 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.
Required Skills and Experience
- 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
“Nice To Have” Skills and Experience
- 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 resource management.
- Experience building production-grade data pipelines.
- Exposure to FPGA and Emulation infrastructure.
In Return
- Join a collaborative, fast-paced team solving significant platform challenges.
- There will be room to grow technically, contribute directly to platform strategy, and improve performance for thousands of engineers across.
- We look forward to adding a dynamic individual contributor to our team!
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 employer 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.
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.


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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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