NVIDIA

AI and accelerated computing platforms

SeniorPostSiliconLowPowerIntegrationEngineer

$168–311k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Post Silicon Low Power Integration Engineer at NVIDIA. Skills: low-power integration, silicon validation, system bring-up, AI-powered analytics, intelligent automation, telemetry pipelines, modern debug workflows. Define the Power & Performance validation strategy across product lines. Build intelligent workload characterization frameworks”

What You'll Achieve.

improve validation coverage; expose power-state and data-path issues earlier in the development cycle; support scalable silicon observability, automated validation, and AI-powered debug workflows prior to tapeout; influence the power efficiency, stability, and production readiness of NVIDIA products shipped at scale worldwide; drive production readiness

Industry & Context.

AI and accelerated computing platforms
Problems you'll solve

anomaly detection; predictive validation analytics; automated triage; cross-generation debug correlation

What They're Looking For.

Must Have

10+ years of experience in silicon characterization, low-power feature validation, system integration, or post-silicon productization, understanding of silicon power behavior, Windows/Linux low-power states, firmware interactions, power/performance tradeoffs, and system-level validation methodologies, Experience building scalable automation, telemetry analytics, or AI-assisted engineering workflows for silicon validation, debug, or productization, 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

Nice to Have

Experience applying AI/ML or LLM technologies to silicon validation, telemetry analytics, workload optimization, or debug automation, Background in platform power management technologies such as S0ix, ASPM, RTD3, Memory Self Refresh, or system-level power-state coordination, Experience building large-scale telemetry pipelines, automated validation dashboards, or intelligent observability infrastructure, Python, data analytics, and automation framework development experience, Experience working across architecture, firmware, silicon validation, and manufacturing organizations to drive production readiness

What You'll Do.

Define the Power & Performance validation strategy across product lines

Build intelligent workload characterization frameworks

Define the instrumentation

Bring up and validate system-level low-power features

Develop AI/ML-assisted infrastructure

Support manufacturing and customer-facing teams in resolving production and feature issues

and platform teams to drive low-power feature readiness

How You'll Work.

Team & Collaboration

Partner closely with architecture, firmware, DV, HSIO, system integration, and data infrastructure teams; Work across hardware, software, firmware, and platform teams

Full Job Description

NVIDIA Silicon Co-Design Group is looking for a versatile engineer to help redefine how low-power silicon validation and system bring-up are developed for next-generation AI and accelerated computing platforms. Our team sits at the intersection of silicon architecture, platform validation, firmware, telemetry, and productization. We build the methodologies, infrastructure, and workflows that take low-power features from architectural intent through silicon bring-up and into production readiness. This role is about scaling low-power validation using AI-powered analytics, intelligent automation, telemetry pipelines, and modern debug workflows. You will help transform how power validation, workload characterization, feature correlation, and silicon debug are accomplished across product generations. The payoff is that the systems, tooling, and methodologies you help build will directly influence the power efficiency, stability, and production readiness of NVIDIA products shipped at scale worldwide. **What You 'll Be Doing:** * Define the Power & Performance validation strategy across product lines, including power targets, rail budgets, and low-power feature validation methodologies. * Build intelligent workload characterization frameworks that use telemetry, behavioral clustering, and AI-assisted analytics to improve validation coverage and expose power-state and data-path issues earlier in the development cycle. * Define the instrumentation, counters, telemetry frameworks, and firmware hooks needed to support scalable silicon observability, automated validation, and AI-powered debug workflows prior to tapeout. * Bring up and validate system-level low-power features across pre-silicon and post-silicon environments using sophisticated automation, data-driven validation methodologies, and generative AI-assisted debug techniques. * Develop AI/ML-assisted infrastructure for telemetry analysis, anomaly detection, predictive validation analytics, workload optimization, autom

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