Performance Analysis Engineer
ArmJob Title
Performance Analysis Engineer
Role Summary
Investigate and evaluate Arm IP and tooling for edge AI compute, focusing on AI inference workloads such as large language models and agentic AI. Produce data-driven analysis of runtime and system behaviour across CPU, GPU, and NPU-class architectures to inform hardware and software improvements.
Experience Level
Mid-level. No specific years of experience are stated.
Responsibilities
Provide measurement-driven insight into AI inference performance and efficiency across heterogeneous compute platforms.
- Investigate and characterise AI inference workloads on real-world use cases.
- Develop evaluation and analysis workflows to capture system behaviour and performance metrics.
- Identify and quantify opportunities to improve efficiency across hardware and software stacks.
- Evaluate inference runtimes, toolchains, and deployment frameworks across CPU/GPU/NPU-class architectures.
- Communicate findings clearly to technical and non-technical stakeholders.
Requirements
Key technical requirements and desirable skills.
Must-have
- Software development experience in languages such as Python or C++.
Nice-to-have
- Curiosity about how software behaves across hardware systems.
- Interest in AI model inference on next-generation edge devices.
Education Requirements
University degree (or equivalent practical experience) in Computer Science, Engineering, or a related scientific subject; equivalent practical experience is explicitly accepted.
About the Company
Company: Arm
Headquarters: Cambridge, United Kingdom
ARM is a global leader in semiconductor and software design, driving innovation in computing technology. The company specializes in designing processors and systems that provide the essential building blocks for electronic devices. ARM's architecture is widely used in smartphones, servers, and IoT devices, and its collaborative culture fosters bold thinking, diversity, and high-impact benefits for its talented workforce.
