Role Mission
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.
What you’ll do
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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.
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Prepare, test, and adapt labs, setup guides, demos, software environments, and practical exercises before delivery.
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Troubleshoot issues across tools, platforms, software environments, lab setup, AI frameworks, and participant setup.
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Work with technical specialists, product colleagues, partners, and institutions to clarify setup requirements, dependencies, and delivery risks.
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Improve labs, technical assets, setup guidance, and readiness checks based on delivery feedback.
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Maintain technical quality across delivered content, labs, demos, and practical activities.
What you’ll bring
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Strong working knowledge of Arm-based technologies, tools, platforms, or development environments.
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Technical grounding in AI/ML, compute systems, performance analysis, platform software, Arm-based development environments, software enablement, systems engineering, or related domains.
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Experience delivering or supporting technical content, applied labs, demos, engineering projects, developer enablement, or partner-facing technical activity.
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Practical understanding of AI and systems workflows, such as model deployment, benchmarking, profiling, debugging, lab environments, cloud or edge setup, or performance analysis.
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Ability to troubleshoot practical technical issues in applied, lab-based, or partner-facing settings.
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Ability to explain technical topics clearly to varied technical audiences.
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Good organization, attention to detail, and strong delivery discipline.
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Degree in a relevant subject such as Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electronic Engineering, Computer Engineering, or equivalent technical experience.
Desirable experience
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Experience with AI workloads, edge AI, cloud AI infrastructure, model optimization, benchmarking, workload characterization, profiling, or performance analysis.
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Experience with Arm-based platforms, Cortex processors, Neoverse, Arm development tools, Linux, Python, containers, cloud environments, or AI frameworks.
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Experience improving labs, demos, setup guides, technical assets, readiness checks, or partner-facing technical resources.
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Experience supporting technical activity across partners, institutions, regions, or applied delivery settings.
Location and travel
This is a global role with international travel based on partner engagement, technical activity, and program needs.
Why join us
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.
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 [email protected]. 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.
Salary Range:
£73,500
per year
