Low-Power Feature Validation & Bring-Up Engineer

Nvidia

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CA
Salary
$168,000–$264,500 / yr
Employment
Full-time
Posted
34 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $216k
$137k $278k
below market most similar roles pay here above market

This role pays more than 66% of similar roles. Most pay $168,500–$239,987 — the blue band above. At the midpoint, this role pays about $216k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

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.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Low-Power Feature Validation & Bring-Up Engineer

The Low-Power Feature Validation & Bring-Up Engineer joins the Silicon Co-Design Group to develop methodologies and infrastructure for low-power silicon validation and system bring-up on next-generation AI and accelerated computing platforms. You will define power and performance validation strategies, build intelligent workload characterization frameworks, and develop AI/ML-assisted infrastructure for telemetry analysis, anomaly detection, and predictive validation. Key responsibilities include defining instrumentation, counters, and firmware hooks for scalable silicon observability, as well as performing pre-silicon and post-silicon bring-up. Required skills include expertise in silicon characterization, power analysis, and system-level validation methodologies. You will utilize Python, data analytics, and scripting to build automated workflows. The role addresses the technical challenge of ensuring power efficiency, stability, and production readiness across hardware, software, and firmware domains.

What you'll do

  • Define power and performance validation strategies, including power targets, rail budgets, and low-power feature methodologies.
  • Build workload characterization frameworks using telemetry, behavioral clustering, and AI-assisted analytics.
  • Define instrumentation, counters, and firmware hooks to support scalable silicon observability and automated validation.
  • Bring up and validate system-level low-power features across pre-silicon and post-silicon environments.
  • Develop AI/ML-assisted infrastructure for telemetry analysis, anomaly detection, and predictive validation analytics.
  • Build scalable validation pipelines, intelligent dashboards, and modern engineering workflows for next-generation silicon.
  • Resolve production and feature issues using telemetry-powered insights and automated analytics for manufacturing and customer teams.

What we're looking for

  • BS/MS in EE, CE, CS, Systems Engineering, or equivalent experience.
  • 10+ years of experience in silicon characterization, low-power feature validation, system integration, or post-silicon productization.
  • Strong understanding of silicon power behavior, Windows/Linux low-power states, firmware interactions, and power/performance tradeoffs.
  • Experience building scalable automation, telemetry analytics, or AI-assisted engineering workflows for silicon validation, debug, or productization.
  • Strong EE fundamentals including digital design, computer architecture, power analysis, statistics, and scripting/programming skills.
  • Hands-on experience with silicon bring-up, lab validation, debug methodologies, and hardware lab instrumentation.
  • Experience applying AI/ML or LLM technologies to silicon validation, telemetry analytics, workload optimization, or debug automation (preferred).
  • Background in platform power management technologies such as S0ix, ASPM, RTD3, or Memory Self Refresh (preferred).

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