System Analysis Engineer — Machine Learning

Job Title

System Analysis Engineer — Machine Learning

Role Summary

Perform system-level analysis and characterization of machine learning (ML) performance across Arm hardware and software to inform engineering, product and partner decisions.

Develop test infrastructure and use pre-silicon platforms to evaluate ML workloads, produce actionable reports, and influence future IP and system design.

Experience Level

Mid-level. No explicit years-of-experience requirement stated.

Responsibilities

Primary responsibilities include:

• Develop automated test infrastructure for functional and performance testing of ML software/hardware.
• Build visualizations and automated report generation pipelines for test results.
• Analyze ML use-cases and workloads to identify performance bottlenecks and optimization opportunities on Arm platforms.
• Evaluate next-generation systems using advanced pre-silicon platforms and significant workloads.
• Collaborate with software, IP and systems teams to interpret results and influence design directions.

Requirements

Must-have skills and attributes:

• Strong Python programming skills (essential).
• Analytical mindset with initiative and strong problem-solving ability.
• Effective communication skills and ability to work across cultures.
• Proactive team player willing to take on varied technical challenges.

Nice-to-have:

• Experience with pre-silicon platforms and building test infrastructure.
• Low-level debugging experience.
• Familiarity with data analysis and ML workloads.

Education Requirements

Bachelor's or Master's degree in engineering or equivalent practical experience. The posting also references documented programming coursework. No specific engineering subfields or certifications were specified.

About the Company

Company: Arm

Headquarters: Cambridge, United Kingdom

ARM is a global leader in semiconductor and software design, driving innovation in computing technology. The company specializes in designing processors and systems that provide the essential building blocks for electronic devices. ARM's architecture is widely used in smartphones, servers, and IoT devices, and its collaborative culture fosters bold thinking, diversity, and high-impact benefits for its talented workforce.