Senior AI & Compute Systems Engineer, Workforce Enablement

Arm; Cambridge; Hybrid; GBP 73,500 - 99,500; Full time

Job summary

Arm is shaping the future of AI and compute. This Senior AI & Compute Systems Engineer role focuses on delivering technical content, labs, and demos across Arm-based platforms. You will work with Arm partners and institutions to enable practical AI workloads and performance-focused activities in global programs.

The role requires strong Arm knowledge, AI/ML grounding, and the ability to communicate complex topics clearly. Hybrid work is supported with travel as needed.

Qualifications

• 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.

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.

Skills

Arm technologies

AI/ML knowledge

Performance analysis

Labs delivery

Troubleshooting

Technical communication

Education

Bachelor's degree in Computer Science or related field

Equivalent technical experience

Tools

Arm development tools

Linux

Python

Containers

AI frameworks

Job description

Arm is shaping the future of AI and compute. This Senior AI & Compute Systems Engineer role focuses on delivering technical content, labs, and demos across Arm-based platforms. You will work with Arm partners and institutions to enable practical AI workloads and performance-focused activities in global programs.

The role requires strong Arm knowledge, AI/ML grounding, and the ability to communicate complex topics clearly. Hybrid work is supported with travel as needed.