EDA Optimisation Engineer

ARM; Town of Cambridge; Hybrid; AUD 105,000 - 142,000; Full time

Job summary

ARM is seeking an EDA Optimisation Engineer to enhance data-driven optimization, analysis, and maintenance of Arm’s engineering platforms. The role supports HPC, cloud, emulation, and FPGA environments and aims to improve utilization, efficiency and cost-performance with a metrics-first approach.

You will work within the Productivity Engineering group, building dashboards, forecasting guidance, and scalable analytics while collaborating across engineering, operations and finance teams.

Qualifications

• Experience in distributed HPC, cloud and data engineering & analytics.
• Familiarity with EDA workflows and semiconductor environments.
• Proficiency in Python and data analysis / ML frameworks.
• Ability to translate complex data into actionable strategies.

Responsibilities

• Contribute to optimization of HPC scheduling and infrastructure efficiency.
• Assist in performance benchmarking to support platform decisions.
• Develop dashboards and visualizations for observability and performance analysis.
• Analyze CUR and infrastructure metrics for forecasting, budgeting and optimization.
• Build and maintain scalable analytics frameworks to measure utilization and capacity.
• Collaborate with engineering, operations and finance to base decisions on data.

Skills

HPC experience

Cloud environments

Data engineering

EDA workflows

Python

ML frameworks

Tools

IBM Spectrum LSF

NetApp storage

Job description

EDA Optimisation Engineer Overview

Company Name: ARM

Job Role: EDA Optimisation Engineer

Qualifications: Not Specified

Category: IT Jobs

Job Type: Full Time

Location: Cambridge

We are seeking an EDA Optimisation Engineer to enhance the data-driven optimization, analysis, and maintenance of Arm’s engineering platforms. This position is integral to a team focused on improving system utilization, efficiency, and cost-performance, while also addressing forecasting accuracy and infrastructure strategy. The role will be part of the Productivity Engineering group, emphasizing metrics, automation, data engineering, and problem-solving in a metrics-first, data-driven decision-making environment. The work aims to enhance scalability and vendor strategy across high-performance computing (HPC), cloud, emulation, and FPGA environments.

Responsibilities

• Contribute to the optimization of high-performance computing (HPC) scheduling and infrastructure efficiency.
• Assist in performance benchmarking activities to support platform decision-making.
• Develop dashboards and visualizations for observability and performance analysis.
• Analyze Cost and Usage Reports (CUR) and infrastructure metrics to aid in forecasting, budgeting, and optimization strategies for large-scale compute environments.
• Build and maintain scalable analytics frameworks to measure utilization, capacity, and workload behavior.
• Collaborate with engineering, operations, and finance teams to ensure decisions are driven by data.

Required Skills and Experience

• Experience in distributed high-performance computing (HPC), cloud environments, and data engineering & analytics.
• Familiarity with electronic design automation (EDA) workflows and semiconductor engineering environments.
• Proficiency in Python and data analysis/machine learning frameworks.
• Ability to translate complex data into clear, actionable strategies.

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 that tackles significant platform challenges. This role offers opportunities for technical growth, direct contributions to platform strategy, and the chance to enhance performance for thousands of engineers.

Additional Information

Please note that no relocation package is available for this role. If skilled worker sponsorship is required, Arm will cover the employer’s costs associated with sponsorship. However, all fees related to the individual’s application, such as visa application fees and Immigration Health Surcharge, will be the responsibility of the successful candidate.

Hybrid Working at Arm

Arm promotes a hybrid working model that balances high performance with personal wellbeing. Teams are empowered to determine their own hybrid working patterns based on their needs and the nature of their work.

Equal Opportunities at Arm

Arm is committed to providing an environment of mutual respect and equal opportunities for all applicants and employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Salary Range

£55,300 – £74,800 per year

Degree Requirement: Not Specified

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