Senior AI & Compute Systems Engineer, Workforce Development

Arm is helping shape the future of AI and compute, from cloud and edge infrastructure to embedded systems, connected devices, and Arm-based silicon. Arm Workforce Development builds technical capability across markets, partners, and institutions working with Arm-based technologies. We are looking for a Senior AI & Compute Systems Engineer, Workforce Development to deliver and improve technical content, labs, demos, and practical activities focused on AI workloads, compute systems, and Arm-based platforms.

Strong working knowledge of Arm-based technologies, tools, platforms, or development environments is required. You will be expected to contribute confidently from the outset.

• 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.

• 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.

This is a global role with international travel based on partner engagement, technical activity, and program needs.

You will work hands-on at the intersection of AI, compute systems, and Arm-based platforms. This is a chance to help technical communities build practical experience with AI workloads, modern compute systems, and Arm technologies at global scale.

At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed.

Discover how the 10x mindset shapes life at Arm:

At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving.

As such, you may not use…