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Performance Analysis Engineer

Cambridge, United Kingdom💼 Full-time🗓 2026-07-17 → 2026-07-21

Core

Evaluating AI inference runtime characteristics and system behavior on edge devices to guide future edge AI technologies.

Role type

Performance Analysis Engineer (Edge AI)

Builds

Data-driven analysis and insights for CPU, GPU, and NPU-class architectures

Domain

Edge AI, Heterogeneous Compute, System Performance

Deliverable

production ML models

Required skills

Python, C++, AI inference workload analysis, heterogeneous compute architecture evaluation, data-driven analysis

Preferred skills

curiosity about software-hardware interaction, interest in next-generation device inference

Technologies

Python, C++, inference runtimes, toolchains, deployment frameworks

Responsibilities

Investigate AI inference workloads on real-world use cases, develop evaluation and analysis workflows, evaluate inference runtimes and deployment frameworks across architectures, share insights with technical and non-technical audiences

Seniority

Individual Contributor

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