Drimva

NVIDIA

Principal System Power Management and Performance Architect

$232K–$368K

US, CA, Santa Clara +2 · Principal · Full-time · Posted Sep 23, 2026

Location
US, CA, Santa Clara
US, TX, Austin
US, OR, Hillsboro
Experience
15+ years.
Education
BS or MS in EE/CE, or equivalent experience proven through the work itself.

About the job

Architects system-level power and performance features and roadmaps across silicon generations, from concept through validation and product release, including datacenter-scale power management.

What you'll do

  • Define multi-generation roadmaps and architecture for system power and performance features, including HSIO power management, DVFS, P-states, and low-power features.
  • Lead system boot and IST architecture, and redesign boot/reset, low-power sequencing, and cross-IP control policies.
  • Drive datacenter-scale power strategy and serve as a technical authority across architecture, ASIC, platform, and firmware teams.

What they ask for

  • BS or MS in EE/CE, or equivalent experience proven through the work itself.
  • 15+ years of system architecture, development, and validation experience focused on power and performance-per-watt optimization in datacenter or high-performance platforms.
  • Verifiable history of guiding architecture decisions shipped across multiple silicon programs.
  • Extensive knowledge of HSIO power management, DVFS, P-states, system boot flows, low-power entry/exit architecture, and strong fundamentals in low-power design and rack-level performance architecture.

Nice to have

  • Hands-on depth in at least two of system power management, robust boot flow optimizations, HSIO, and memory power management.
  • Demonstrated AI/agentic workflow practice; technical leadership evidenced by patents, publications, presentations, standards participation, or industry recognition.

Pay

232,000 USD - 368,000 USD base salary

Tools

HSIO, DVFS, P-states

AI focus

Preferred: use disciplined AI/agentic workflows to increase engineering velocity while validating and refining results.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)