Senior Power Architect, Power and Performance Analysis Tools

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 184,000 - 356,500 annuallyFunction: Software EngineeringExperience: 6+ yearsEducation: mastersSkills: ["Technical ownership","Communication","Collaboration","Data analysis","Debugging"]

Own the architecture, development, validation, and roadmap of NVIDIA’s power estimation and performance analysis tools. Build scalable software in Python/C++ to model power-performance trade-offs across workloads and product configurations, integrating silicon telemetry, performance counters, power measurements, and simulation data. Correlate pre-silicon estimates with post-silicon results, drive prediction accuracy, and deliver automation, visualization, and reporting—partnering closely with architecture, power/thermal, firmware, validation, and silicon teams.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Power Architect, Power and Performance Analysis Tools

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Own the architecture, development, validation, and roadmap of NVIDIA’s power estimation and performance analysis tools. Build scalable software in Python/C++ to model power-performance trade-offs across workloads and product configurations, integrating silicon telemetry, performance counters, power measurements, and simulation data. Correlate pre-silicon estimates with post-silicon results, drive prediction accuracy, and deliver automation, visualization, and reporting—partnering closely with architecture, power/thermal, firmware, validation, and silicon teams.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the architecture, development, validation, and long-term roadmap of power estimation and analysis tools.
  • •Develop scalable, maintainable software to estimate and analyze power and performance across workloads and product configurations.
  • •Build models translating architectural parameters, workload behavior, utilization, and telemetry into actionable power-performance insights.
  • •Integrate silicon telemetry, performance counters, power measurements, and simulation data into a unified analysis framework.
  • •Partner with cross-functional teams and establish engineering practices (modular design, testing, documentation, version control, release management) to improve adoption and prediction accuracy.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related STEM—or equivalent experience.
  • •6 years of relevant work experience.
  • •Strong software development skills in Python, C++, or similar languages, building production-quality engineering tools.
  • •Understanding of computer/SoC architecture (processors, memory systems, interconnects, accelerators, power-management).
  • •Experience with power/performance estimation, performance modeling, and architectural trade-off evaluation (e.g., performance per watt, latency, throughput).
Experience:6+ yearsSoCPower-performance estimationPerformance modelingSilicon telemetryEngineering tools
Education:Master's
Skills:Technical ownershipCommunicationCollaborationData analysisDebugging
Tech Stack:PythonC++DVFSClock gatingPower gatingThermal managementPerformance countersPower sensorsSimulation data

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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