Job Summary
We are seeking a highly motivated and enthusiastic Performance Engineer to join our dynamic workload modelling team. In this role, you will have the opportunity to work on cutting‑edge projects involving performance projection, simulation, and architectural studies, with a focus on server CPUs, NPUs, and AI workloads. As a Performance Engineer, you will contribute to the development of performance models for upcoming server processors and accelerators, support architectural studies, and drive software/hardware co‑optimization for next‑generation systems.
Key Responsibilities
- Develop and enhance simulation features to enable rapid architectural exploration and performance evaluation of server CPUs and NPUs, focusing on AI and large‑scale data analytics workloads.
- Conduct in‑depth performance projections for various workloads, including databases, distributed storage, and engines for AI and data analytics.
- Contribute to architectural studies to explore and evaluate the latest server CPU core and SOC designs.
- Work on characterising workloads and developing methodologies for tracing and optimising AI models to enhance simulation and performance analysis.
- Construct a non‑intrusive, highly accurate system for characterising and modelling complex workloads, ensuring precise workload representation.
- Collaborate with cross‑functional teams to extract and analyse real‑world workload features, contributing vital data for hardware development.
Person Specification
- Required:
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- Strong understanding of CPU architecture and micro‑architecture performance techniques (e.g., branch prediction, prefetchers, cache hierarchies).
- Proficient in performance analysis and workload characterisation, with hands‑on experience in methodologies for system‑level architectural exploration.
- Experience in developing using dynamic binary instrumentation infrastructures like QEMU or DynamoRIO or x86 PIN.
- Proficiency in C/C++, with a solid understanding of Assembly Language.
- Experience with Python and other scripting languages to support automation, data processing, and tool development.
- Excellent analytical and problem‑solving skills with the ability to work both independently and as part of a team.
- Desired:
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- Experience in compiler technologies, binary analysis, and performance tuning.
- Experience in developing and using performance simulators like GEM5 (O3 model), Sniper or others.
- Knowledge of AI workloads and the challenges involved in optimizing large‑scale models for performance simulation.
- Experience in Linux kernel development, including knowledge of kernel internals.
- Hands‑on experience in CPU performance analysis, utilising methodologies such as PMU‑based profiling and Top‑Down Analysis, and proficiency with performance analysis tools like Linux perf.
What We Offer
- 33 days annual leave entitlement per year (including UK public holidays)
- Group Personal Pension
- Life insurance
- Private medical insurance
- Medical expense claim scheme
- Employee Assistance Programme
- Cycle to work scheme
- Company sports club and social events
- Additional time off for learning and development
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