Senior Power Architect, Power and Performance Analysis Tools

Nvidia

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
78 days ago
Freshness
Confirmed live today

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

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TL;DR · Senior Power Architect, Power and Performance Analysis Tools

The Senior Power Architect, Power and Performance Analysis Tools, joins a team at the intersection of software development, system architecture, performance modeling, and silicon analysis. This role involves owning the architecture, development, and long-term roadmap of a critical power estimation and analysis platform. You will build scalable software to model architectural parameters, workload behavior, and telemetry into actionable insights regarding performance-per-watt trade-offs, thermals, and energy efficiency. Key responsibilities include correlating pre-silicon estimates with post-silicon measurements and creating automation for complex analysis. Required skills include proficiency in Python and C++, a Master's degree or equivalent experience, and deep knowledge of SoC architecture, processors, and memory systems. You will solve technical problems by integrating silicon telemetry and performance counters into a unified analysis framework.

What you'll do

  • Own the architecture, development, validation, and long-term roadmap of power estimation and analysis tools.
  • Develop scalable software to estimate and analyze power and performance across various workloads and product configurations.
  • Build models that translate architectural parameters and telemetry into actionable power-performance insights.
  • Develop workload models and representative usage scenarios for early architecture exploration.
  • Integrate silicon telemetry, performance counters, and simulation data into a unified analysis framework.
  • Correlate pre-silicon estimates with post-silicon measurements to improve prediction accuracy.
  • Create automation, visualization, and reporting capabilities to make complex analysis accessible to engineering teams.

What we're looking for

  • Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field, or equivalent experience.
  • 6 years of relevant work experience.
  • Strong software development skills in Python, C++, or similar languages to build production-quality engineering tools.
  • Understanding of computer or SoC architecture, including processors, memory systems, interconnects, accelerators, and power-management concepts.
  • Experience with power and performance estimation, performance modeling, architectural exploration, or system-level analysis.
  • Experience modeling workloads or analyzing how workload characteristics affect system power and performance.
  • Familiarity with silicon telemetry, performance-monitoring counters, power sensors, traces, logs, or lab measurement data.
  • Experience developing power or performance models for complex SoCs, CPUs, GPUs, AI accelerators, or automotive platforms (preferred).

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