EDA Optimisation Engineer

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

Benefits offered by this job

Hybrid working

Accommodations during recruitment

Job summary

Arm Cambridge is seeking an EDA Optimisation Engineer to drive data-driven optimization across HPC compute, cloud and emulation platforms. You will build analytics to improve utilisation, forecasting and infrastructure strategy within the Productivity Engineering group.

You will partner with engineering, operations and finance to enable scalable, data-driven decisions and deliver dashboards and pipelines for performance insights.

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 to improve HPC scheduling and efficiency.
• Assist with performance benchmarking to support platform decisions.
• Observability and performance analysis through dashboards and visualisations.
• Cost and resource optimization using CUR and infra metrics for forecasting and budgeting.
• Build and maintain scalable analytics frameworks to measure utilisation, capacity, and workload behaviour.
• Collaborate with engineering, operations, and finance to enable data-driven decisions.

Skills

Distributed HPC

Cloud environments

Data engineering & analytics

Python

Data-driven decision making

Tools

IBM Spectrum LSF

NetApp storage

FPGA/Emulation infra

Job description

Job Overview

We are looking for an EDA Optimisation Engineer to support the data-driven optimisation, 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

We are looking for an EDA Optimisation Engineer to support the data-driven optimisation, 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.

Nice To Have

• 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 [e-mail]. 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