Verified from career page · Posted 1w ago

Arm

Senior CPU Performance Engineer

Arm · Hardware Engineering

Cambridge

Senior

SystemsC++Python

Last seen just now

Posted
1w ago

Posted on 18 September 2026

Workplace
Hybrid

Work model: Hybrid

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
No

The posting states no sponsorship

CPU Performance Engineer (Device-Level Analysis)

Overview

We are hiring a CPU Performance Engineer focused on device-level performance analysis. This role sits at the intersection of real-world system behaviour and CPU microarchitecture, with the objective of understanding performance observed on devices and translating it into actionable insights for CPU design teams.

You will work on silicon platforms and real devices, analysing performance across complex and often non-deterministic environments. The role requires a solid foundation in CPU fundamentals, along with a strong interest in understanding how system-level behaviour maps to underlying microarchitecture.

Working alongside experienced architects and performance engineers, you will contribute to investigations, build supporting evidence, and help guide CPU design decisions.

This is not a CPU design or microarchitecture role. Instead, you will influence CPU architecture by identifying bottlenecks, validating hypotheses (where possible) using pre-silicon platforms (e.g. FPGA, emulation, performance models), and driving data-backed recommendations to CPU teams.

Key Responsibilities

Device Performance Analysis

Analyse performance on real devices using real-world workloads

Support investigation of system-level performance issues, identifying CPU-related factors

Operate effectively in low-observability environments (e.g. no waveforms, partial counters, noisy systems)

CPU-Focused Analysis

Use PMU counters and profiling tools to understand CPU behaviour

Contribute to identifying performance bottlenecks (e.g. memory, front-end/back-end, execution)

Build understanding of how microarchitectural features impact real-world performance

Pre-Silicon Support

Assist with experiments on emulation or FPGA platforms to validate hypotheses

Reproduce silicon-observed behaviours in controlled environments to isolate CPU effects

Where applicable, compare silicon vs model vs emulation to build confidence in findings

Influencing CPU Architecture

Contribute analysis and data to support discussions with CPU architecture teams

Highlight gaps between real-world workloads and existing design assumptions

Document findings and communicate insights clearly to stakeholders

Methodology & Tooling

Use and progressively improve performance analysis workflows and tools

Contribute to automation and data analysis where relevant

Required Skills & Experience

Strong understanding of CPU microarchitecture fundamentals (pipelines, caches, speculation, memory hierarchy)

Experience in performance analysis (profiling, benchmarking, debugging)

Familiarity with PMU-based profiling tools or equivalent performance counters

Basic programming or scripting skills (Python, C/C++, or similar)

Strong analytical and problem-solving skills

Preferred Experience

Exposure to CPU performance analysis or benchmarking

Familiarity with low-level programming (C / Assembly)

Basic understanding of RTL or hardware design concepts

Exposure to FPGA or emulation platforms

Experience working on real devices (mobile, embedded, or client systems)

Awareness of system-level performance interactions (OS, scheduling, memory)

Familiarity with Arm architecture

Candidate Profile

Interested in understanding how real-world workloads interact with CPU architecture

Comfortable working with noisy, incomplete, or ambiguous data

Eager to learn from and collaborate with experienced engineers

Clear communicator, able to present analysis with appropriate guidance

Additional Information

Please note this role does not meet the eligibility requirements for sponsorship, and therefore the successful candidate must have the right to work in the UK without relying on sponsorship by Arm.

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.

About Arm

Arm designs the processor architecture most of the world's phones and a growing share of its servers run on, and licenses it rather than manufacturing chips itself. Its European engineering is heavily Cambridge — the head office and much the largest cluster here — with smaller teams in Sophia Antipolis, Budapest and Manchester, and the work skews to systems software, ML and embedded rather than application development. Roughly two thirds of its openings are outside Europe, so filter by country before assuming a role is local.

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