We are looking for a Platform Analytics & AI Engineer to lead data-driven optimization of Arm’s engineering platforms. This role owns the end-to-end data pipeline and develops advanced analytics and AI models to improve system utilization, forecasting accuracy, and infrastructure strategy.

Working within the Productivity Engineering Group, you will transform raw platform data into actionable insights that drive efficiency, scalability, and vendor strategy across compute, cloud, FPGA, and emulation environments.

RESPONSIBILITIES

• Own and evolve data pipelines (ETL/ELT) across schedulers, cloud, monitoring, and storage systems.
• Build and maintain scalable analytics frameworks to measure utilization, capacity, and workload behavior.
• Develop predictive and optimization models for capacity planning, workload placement, and cost efficiency.
• Continuously improve models using operational telemetry and feedback loops.
• 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 EXPERIENCE

• Strong background in data engineering, analytics, or applied AI/ML.
• Experience building production-grade data pipelines.
• Proficiency in Python and data analysis/ML frameworks.
• Deep understanding of distributed compute, HPC, or cloud environments.
• Ability to turn complex data into clear, actionable strategy.

“NICE TO HAVE” EXPERIENCE

• Experience with IBM Spectrum LSF or other job schedulers.
• Knowledge of EDA workflows and semiconductor engineering environments.
• Familiarity with NetApp or high-performance storage systems.
• Experience applying AI/ML to workload optimization or capacity planning.
• Exposure to FPGA and emulation infrastructure.
• Experience integrating AI-driven analytics into operational decision-making platforms.

IN RETURN:

Join a collaborative, fast-moving team solving significant platform challenges. You’ll have room to grow technically, contribute directly to platform strategy, and improve performance for thousands of engineers across Arm.

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.