Performance Analysis Engineer

Job Overview:

If you’re excited by emerging AI applications on edge devices, and enjoy understanding how systems behave and perform in real-world environments, this could be a great opportunity!

We are looking for an engineer to join our growing team to explore and evaluate Arm IP and tooling for edge AI compute, investigating workloads such as large language models and agentic AI.

Position is based in Cambridge, UK.

Responsibilities:

This role focuses on AI inference runtime characteristics, producing data-driven analysis and meaningful insights that influence future edge AI technologies across CPU, GPU, and NPU-class architectures.

This role would suit someone who enjoys understanding how AI workloads behave across hardware and software systems, and who uses data-driven analysis to help guide future improvements

You will work closely with hardware architects and software engineers to:

• Collaborate with the team to investigate and understand AI inference workloads on real-world use cases
• Develop evaluation and analysis workflows that provide insights into system behaviour
• Investigate opportunities to improve efficiency and understand where these can be demonstrated
• Evaluate inference runtimes, toolchains, and deployment frameworks across heterogeneous compute architectures
• Share insights clearly to technical and non-technical audiences

Required Skills and Experience:

• University degree (or equivalent experience) in Computer Science, Engineering, or related scientific subject
• Software development experience in languages such as Python or C++

"Nice to Have" Skills and Experience:

• A curiosity about how software behaves across hardware systems
• An interest in AI model inference on next-generation devices

We value curiosity, teamwork, and learning from different perspectives, and understand that candidates may not meet every requirement listed. If your experience is relevant and you are interested in the role, we encourage you to apply.

In Return:

You’ll join a team that genuinely values curiosity, collaboration, and practical innovation, giving you the space and support to do your best work. The role offers a blend of technical depth and opportunities to shape how next‑generation edge AI systems are built and understood.

#LI-JW1

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 accommodations@arm.com. 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.