Power and Performance Engineer, PAI Platforms and Performance Analysis

Overview

In this hands-on role, you will profile power and performance across SoC platforms to drive PnP methodologies and TDP definitions for Arm’s robotics and automotive-focused PAI products. You work closely with hardware and software teams to analyze platform behavior, build automation for workloads, and translate data into architecture and product decisions. The role combines pre- and post-silicon analysis, workload automation, and rigorous reporting to enable scalable, energy-aware products.

Pay / Benefits

• accommodations during recruitment
• hybrid working
• equal opportunities
• diverse and innovative environment
• flexible work patterns
• career development

Responsibilities

• Perform hands-on power and performance profiling across CPU, GPU, NPU/AI accelerator, memory, interconnect, and full-system workloads
• Run benchmarks and real-world workloads on Linux-based devices 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 characterization, 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

Key requirements

• Demonstrable experience in either pre-silicon or post-silicon power and performance analysis
• Experience with SoC power/performance analysis across heterogeneous compute systems (CPU, GPU, NPU, memory, 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 (e.g., Python, shell)
• Ability to translate workload behaviour into measurable engineering requirements
• Strong communication skills to explain trade-offs to engineers, architects, and product teams
• Degree or equivalent experience in Electronics/Electrical/Computer Engineering or Computer Science or related field

• clear communication
• problem-solving
• cross-functional collaboration
• Power and performance analysis
• Automation harness development
• Linux-based workload profiling

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