15+ years of experience in SoC PnP Architecture within the semiconductor industry, with a strong track record of driving system-level performance, power, and efficiency investigations across complex silicon platforms.

Strong expertise in SoC performance architecture and pre-silicon performance analysis, including:

• Hands-on experience with simulation and hardware emulation platforms such as Palladium, Veloce, ZeBu, or equivalent
• Performance analysis using cycle-accurate, transaction-level, and emulation-based environments
• Waveform-based debug and signal-level performance analysis
• Latency, bandwidth, throughput, QoS, and utilization characterization
• Transaction-level tracing and protocol debug across CHI, AXI, PCIe, CXL, or equivalent system protocols
• Identification of system-level bottlenecks across compute, interconnect, memory, and IO subsystems
• Architectural tradeoff analysis across performance, power, area, latency, bandwidth, and implementation complexity

Strong experience with SOC Performance and Power modeling methodologies, including:

• Development and use of SystemC/TLM, analytical, trace-driven architecture models
• Building and calibrating models for performance, power, latency, bandwidth, utilization, and efficiency analysis
• Model-to-silicon correlation, including alignment of pre-silicon projections, emulation results, and post-silicon measurements
• Early-stage architecture exploration to evaluate performance, power, area, thermal, TDP, and efficiency tradeoffs
• Using models to guide SoC architecture decisions, IP configuration, memory/interconnect sizing, QoS strategy, and platform-level optimization
• Ability to translate modeling insights into clear architectural recommendations and measurable product improvements

Extensive experience in post-silicon performance and power characterization, including:

• Silicon bring-up support from a performance and PnP perspective
• Performance counter, PMU, telemetry, and trace-driven investigations
• Correlation of pre-silicon projections, architectural models, and silicon measurements
• Root-cause analysis of performance gaps, power inefficiencies, and workload-level bottlenecks
• System-level performance tuning under real silicon constraints
• Analysis of workload behavior under power, thermal, voltage, frequency, and TDP limits

Strong understanding of SoC system infrastructure and platform-level PnP behavior, including:

• Coherent interconnect fabrics and cache-coherency protocols
• DDR memory subsystems, memory controller behavior, scheduling, QoS, and bandwidth efficiency
• IO subsystems including PCIe, CXL
• Power management architecture, DVFS, clocking, voltage domains, power states, and throttling mechanisms

Proven experience working in both Linux and bare-metal environments, including:

• Performance profiling and debug in Linux-based systems
• Kernel-level performance analysis and tracing using perf, ftrace, PMU-based analysis, or equivalent tools
• Low-level bring-up, debug, and performance characterization in bare-metal environments
• Understanding of boot flows, firmware interactions, BIOS/UEFI or bootloader configuration, and system initialization impacts on performance and power
• Ability to debug issues across hardware, firmware, OS, driver, and workload layers

Strong background in computer architecture and microarchitecture, including:

• CPU/GPU/NPU/DSP or accelerator performance behavior
• Pipelines, cache hierarchy, prefetching, coherency, memory systems, and interconnect behavior
• System-level performance interactions across compute, memory, IO, and power-management blocks
• Workload characterization and mapping of application behavior to architectural bottlenecks

Proficiency in C/C++ and Python for developing:

• Performance and power analysis tools
• Automation frameworks
• Profiling and telemetry infrastructure
• Data analysis and visualization dashboards
• Correlation flows across model, emulation, and silicon data

Excellent communication and cross-functional collaboration skills, with the ability to:

• Clearly present complex performance and power findings to architecture, design, verification, firmware, software, and leadership teams
• Drive data-based architectural recommendations
• Influence SoC architecture, platform configuration, and product-level PnP decisions
• Lead investigations across multiple teams and convert debug findings into architectural improvements, tuning proposals, or product guidance

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Accommodations at Arm

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Hybrid Working at Arm

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Equal Opportunities at Arm

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