Senior AI Platform Architect — Scalable ML Infra (Hybrid)

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 184,000 - 357,000

Full time

14 days+

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Job summary

NVIDIA Corporation in Santa Clara seeks a Senior AI Platform Engineer to define architectural direction and lead end-to-end delivery of the efficiency platform powering our ML infrastructure and silicon ecosystem.

You will own platform contracts, drive security, reliability, observability, and scalability, and mentor senior engineers while collaborating across SCG to set engineering standards for AI-powered infrastructure.

Qualifications

BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 8+ years of hands‑on experience designing and operating production‑grade platform or backend infrastructure.
5+ years of direct ML infrastructure experience, including end-to-end ownership of a model serving platform or latency‑sensitive backend service from initial architecture through sustained production operation.
Demonstrated track record of setting technical direction at the department or company level: defining platform strategy, establishing architectural standards, and leading initiatives spanning multiple teams.

Responsibilities

Define the architectural direction, infrastructure investments, and roadmap priorities for the efficiency platform across silicon architecture, build, methodology, validation, and applied AI teams.
Own end-to-end delivery of the platform—from design and implementation through sustained production operation—with accountability for security, reliability, performance, and evolution.
Lead the unified solutions including orchestration patterns, authentication and authorization, observability, and SLA enforcement.
Drive platform-wide decisions with multi-functional impact.
Manage storage and caching strategies that scale across heterogeneous compute environments.