Arm
Power and Performance Engineer, PAI Platforms and Performance Analysis
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Job ID 2025-13522
Date posted 28/07/2026
Location Cambridge, United Kingdom
Category Architecture - Engineers
We are looking for a hands-on Power and Performance Engineer to join Arm’s Platforms and Performance Analysis team.
The role focuses on power and performance profiling of SoC platforms, pre-silicon and post-silicon PnP methodology, TDP definition, workload automation, and product requirement definition for PAI products targeting robotics and automotive markets.
This role is suited to an engineer who enjoys working close to hardware and software, running workloads on Linux-based devices, analysing platform behaviour, building automation harnesses, and using data to influence architecture, product, and platform decisions.
Responsibilities
- Perform hands-on power and performance profiling of SoC platforms across CPU, GPU, NPU/AI accelerator, memory, interconnect, and full-system workloads.
- Run benchmarks and real-world workloads on Linux-based devices, development boards, reference platforms, and pre/post-silicon environments.
- Develop and maintain automation harnesses for workload execution, profiling, telemetry, power measurement, and result analysis.
- Drive methodology for pre-silicon PnP analysis, including workload selection, benchmark definition, estimation, and correlation planning.
- Support post-silicon PnP analysis, including platform characterisation, bottleneck analysis, and power/performance trade-off analysis.
- Define TDP methodology for SoC products, linking workloads, sustained performance, peak power, thermal constraints, and product segments.
- Define power and performance requirements for PAI products in robotics and automotive markets.
- Produce clear technical reports and recommendations for architecture, product, software, systems, and platform teams.
Required Skills And Experience
- Demonstrable experience in either pre-silicon or post-silicon power and performance analysis.
- Experience with SoC power/performance analysis across heterogeneous compute systems such as CPU, GPU, NPU, memory, or interconnect.
- Hands-on experience running workloads on Linux-based devices, development boards, embedded platforms, or pre/post-silicon environments.
- Experience using or developing automation harnesses for workload execution, data collection, profiling, and analysis.
- Understanding of power, thermal, and performance trade-offs in complex SoCs.
- Experience with profiling tools, performance counters, system traces, telemetry, or power measurement equipment.
- Strong scripting and data-analysis skills, for example Python, shell scripting, or similar tools.
- Ability to translate workload behaviour and product use cases into measurable engineering requirements.
- Strong communication skills with the ability to explain technical trade-offs to engineering, architecture, and product collaborators.
- Degree or equivalent experience in Electronics Engineering, Electrical Engineering, Computer Engineering, Computer Science, or equivalent industry experience.
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“Nice To Have” Skills And Experience
- Experience with embedded robotics development platforms.
- Experience in platform performance analysis, silicon validation, performance modelling, systems engineering, or architecture analysis.
- Experience with automotive, robotics, edge AI, embedded AI, or heterogeneous compute platforms.
- Familiarity with AI/ML workloads, vision pipelines, robotics perception/planning workloads, or automotive ADAS workloads.
- Experience defining TDP, sustained performance targets, thermal constraints, or power envelope methodologies.
- Knowledge of Arm architecture, Arm-based SoC platforms, Linux performance tools, and embedded software ecosystems.
- Experience with tools such as perf, ftrace, trace-cmd, sysfs, procfs, vendor telemetry tools, or power analysers.
- Experience with benchmark automation, lab infrastructure, remote device farms, or CI-style workload execution.
- Familiarity with pre-silicon environments such as performance models, simulators, emulation, FPGA, or virtual platforms.
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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
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.
Salary Range
£97300 - £131700 per year
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