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NEXTMOVEFDE careers · United States

Low-Power Feature Validation & Bring-Up Engineer

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

About NVIDIA

Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.

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Job description

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Internal deployment & tooling · Evidence for this classification:

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
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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 earli [... source excerpt omitted ...] astructure teams to build scalable validation pipelines, intelligent dashboards, and modern engineering workflows for next-generation silicon platforms. Support manufacturing and customer-facing teams in resolving production and feature issues using telemetry-powered insights, automated analytics, and scalable debug methodologies. Work across hardware, software, firmware, and platform teams to drive low-power feature readiness from early architecture definition through silicon bring-up, validation, and product release. What We Need to See: BS/MS in EE, CE, CS, Systems Engineering, or equivalent experience. 10+ years of experience in silicon characterization, low-power featur [... source excerpt omitted ...] n, data analytics, and automation framework development experience. Experience working across architecture, firmware, silicon validation, and manufacturing organizations to drive production readiness. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the world’s most desirable employers in the technology field. We encourage you to join our team, which consists of some of the hardest-working people in the world working together to promote rapid growth. Are you passionate about joining an outstanding team supporting the latest in GPU and AI technology? If so, we want to hear from you. #LI-Hybrid Your base salary will be determined

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