
SoC PnP Architect
Arm · Posted Oct 26
Semiconductor IP, energy-efficient CPU architecture, and high-performance compute platforms
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About the role
Arm is hiring a SoC PnP Architect in Bengaluru to drive system-level performance, power, and efficiency investigations across complex silicon platforms. The role covers pre-silicon performance analysis with emulation and architectural models, post-silicon characterization, and tradeoff analysis across compute, interconnect, memory, IO, and power subsystems. The architect will also translate modeling and silicon insights into architectural recommendations and work across hardware, firmware, OS, and software teams.
What you will do
- Design, build, and maintain systems that power Arm's semiconductors platform
- Collaborate with cross-functional teams to ship high-impact features
Skills used in this role
What the employer is looking for
- 4+ 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
Benefits and support
- Hybrid working
About Arm
Arm architects, develops, and licenses high-performance, energy-efficient CPU products and related semiconductor intellectual property. Its technology powers over 99% of the world's smartphones as well as a vast array of devices ranging from tiny sensors and wearables to cloud-scale AI supercomputers.
- Industry
- Semiconductors
- Company size
- 8000+ employees
- Founded
- 1990
- Location
- Cambridge, United Kingdom
- Funding stage
- Public Company
Funding
Public Company
- 2023-09-14IPO$5.23B
Leadership
Chief Executive Officer, Board Member
Executive Vice President and Chief Financial Officer
Executive Vice President, Chief Legal Officer and Head of Corporate Development
Executive Vice President and Chief Commercial Officer
Executive Vice President and Chief Architect
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