Principal System Power & Performance Architect - Datacenter

NVIDIA Corporation (old)

Santa Clara (CA)

Hybrid

USD 232,000 - 368,000

Full time

14 days+

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Benefits offered by this job

Equity
Comprehensive benefits package

Job summary

NVIDIA Corporation seeks a Principal System Power Management and Performance Architect to own and drive system-level power and performance across multi-IP platforms. You will shape boot flows, low-power entry/exit, and platform state coordination for datacenter-scale workloads.

This role demands 15+ years of architecture experience, deep knowledge of HSIO, DVFS, and P-states, and a proven record turning ambiguity into scalable architecture across silicon generations.

Qualifications

  • BS or MS in EE/CE, or equivalent experience proven through the work itself.
  • 15+ years of system architecture, development, and validation experience with power and performance-per-watt optimization in datacenter or high-performance platforms.
  • Experience guiding architecture decisions across silicon programs and demonstrated case-based reasoning from first principles.

Responsibilities

  • Define the multi-generation roadmap for system-level power and performance features.
  • Own the architecture and integration strategy for HSIO power management, DVFS, P-states, and low-power features.
  • Lead system-level boot and IST architecture across complex multi-IP systems.
  • Drive power management strategy at datacenter scale, including rack-level telemetry and platform state coordination.

Skills

System power management
DVFS
P-states
HSIO power management
Power-performance optimization
Datacenter power telemetry

Education

BS or MS in EE/CE

Job description

NVIDIA Corporation seeks a Principal System Power Management and Performance Architect to own and drive system-level power and performance across multi-IP platforms. You will shape boot flows, low-power entry/exit, and platform state coordination for datacenter-scale workloads.

This role demands 15+ years of architecture experience, deep knowledge of HSIO, DVFS, and P-states, and a proven record turning ambiguity into scalable architecture across silicon generations.

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