Senior AI & Compute Systems Engineer

Salary: £45,000 - 80,000 per year

Requirements:

• Strong working knowledge of Arm-based technologies, tools, platforms, or development environments.
• Technical grounding in AI/ML, compute systems, performance analysis, platform software, Arm-based development environments, software enablement, systems engineering, or related domains.
• Experience delivering or supporting technical content, applied labs, demos, engineering projects, developer enablement, or partner-facing technical activity.
• Practical understanding of AI and systems workflows, such as model deployment, benchmarking, profiling, debugging, lab environments, cloud or edge setup, or performance analysis.
• Ability to troubleshoot practical technical issues in applied, lab-based, or partner-facing settings.
• Ability to explain technical topics clearly to varied technical audiences.
• Good organization, attention to detail, and strong delivery discipline.
• Degree in a relevant subject such as Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electronic Engineering, Computer Engineering, or equivalent technical experience.
• Experience with AI workloads, edge AI, cloud AI infrastructure, model optimization, benchmarking, workload characterization, profiling, or performance analysis.
• Experience with Arm-based platforms, Cortex processors, Neoverse, Arm development tools, Linux, Python, containers, cloud environments, or AI frameworks.
• Experience improving labs, demos, setup guides, technical assets, readiness checks, or partner-facing technical resources.
• Experience supporting technical activity across partners, institutions, regions, or applied delivery settings.

Responsibilities:

• Deliver technical content, applied labs, demos, and practical activities focused on AI workloads, model deployment, benchmarking, profiling, tooling, performance concepts, compute systems, and Arm-based platforms.
• Prepare, test, and adapt labs, setup guides, demos, software environments, and practical exercises before delivery.
• Troubleshoot issues across tools, platforms, software environments, lab setup, AI frameworks, and participant setup.
• Work with technical specialists, product colleagues, partners, and institutions to clarify setup requirements, dependencies, and delivery risks.
• Improve labs, technical assets, setup guidance, and readiness checks based on delivery feedback.
• Maintain technical quality across delivered content, labs, demos, and practical activities.

Technologies:

• AI
• ARM
• Cloud
• Support
• Linux
• Python
• Embedded

More:

Arm Workforce Development builds technical capability across markets, partners, and institutions working with Arm-based technologies. We are a global team working hands-on at the intersection of AI, compute systems, and Arm-based platforms, helping technical communities build practical experience with AI workloads, modern compute systems, and Arm technologies at global scale. This is a global role with international travel based on partner engagement, technical activity, and program needs. We offer hybrid working designed to support high performance and personal wellbeing, with flexibility shaped by the needs of the role and team. We are committed to equal opportunities and mutual respect, and we value curiosity, ambition, collaboration, and bold ideas through our 10x mindset.

last updated 37 week of 2026