Senior Systems Architect, Datacenter

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: —
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k

This role $236k

$143k most similar roles pay here $303k

This role pays more than 78% of similar roles. Most pay $158,862–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $197k 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 1371 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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At a glance

TL;DR · Senior Systems Architect, Datacenter

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Senior Systems Architect - Datacenter will join the System Engineering Team to create blueprints for next-generation GPU based AI Super Computing Datacenters. The role involves defining and driving critical trade-offs in high-performance datacenter design, specifically focusing on power, cooling, and layout. You will be responsible for creating and deploying reference AI Super Computer designs while establishing engineering requirements and specifications to align with customer needs and marketing goals. Day-to-day tasks include performing feasibility analyses, presenting options, documenting plans for future deployments, and communicating technical issues to resolve complex trade-offs. The position requires expertise in datacenter design, power and cooling technologies, and familiarity with industry partners, OEMs, and ODMs. You must possess strong verbal and written communication skills to collaborate effectively with program managers, engineers, and specialists across a global team to ensure optimal performance, scalability, and reliability.

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