Power and Performance Engineer, PAI Platforms and Performance Analysis

Arm; Cambridge; On-site; GBP 80,100 - 108,300; Full time

Job summary

Arm is seeking a hands-on Power and Performance Engineer to join its Platforms and Performance Analysis team in Cambridge, United Kingdom. This role involves power and performance profiling of SoC platforms for robotics and automotive applications, requiring a blend of hardware and software skills.

The ideal candidate will have demonstrable experience in power/performance analysis, strong scripting skills, and the ability to produce clear technical reports. A degree in Electronics Engineering or a related field is preferred.

The salary range for this position is £80,100 - £108,300 per year.

Qualifications

• Demonstrable experience in pre-silicon or post-silicon power and performance analysis.
• Hands-on experience with SoC power/performance across heterogeneous compute systems.
• Strong scripting and data-analysis skills, especially in Python.

Responsibilities

• Perform hands-on power and performance profiling of SoC platforms.
• Develop automation harnesses for workload execution and analysis.
• Produce technical reports for architecture and product teams.

Skills

Power and performance analysis

Linux-based devices

Automation harnesses

Scripting (Python, shell)

Communication skills

Education

Degree in Electronics Engineering or related field

Tools

Profiling tools

Linux performance tools

Job description

Job ID 2025-13522 Date posted 07/06/2026 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.

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.

Salary Range

£80,100 - £108,300 per year