Senior Datacenter Technical Program Manager, At-Scale AI Clusters
Nvidia
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How this pay compares to similar roles
This role pays more than 98% of similar roles. Most pay $155,900–$230,500 — the shaded band above. At the midpoint, this role pays about $367k versus about $193k for comparable roles.
Based on 240 similar postings.
Employer
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 928 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 916 roles with salary data.
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At a glance
NVIDIA seeks a seasoned technology leader for its Engineering Operations and Site Reliability Engineering team, focusing on the reliability and scalability of next-generation datacenter server systems. This technical leadership role involves ensuring internal rack-scale systems are healthy, observable, and highly available through execution excellence in fleet operations, incident response, and automation-first practices. The ideal candidate will lead teams to build automation, telemetry, alerting, and dashboards that enhance visibility and resolve issues efficiently while collaborating with hardware, firmware, software, networking, validation, and infrastructure teams. They must have a strong background in server systems, Linux, cluster operations, high-speed networking, and large-scale infrastructure, along with experience managing complex distributed systems and building cohesive technical teams. This role requires expertise in GPU, AI, HPC, cloud, or hyperscale datacenter infrastructure, as well as the ability to mentor and develop technical leaders who prioritize reliability and execution excellence.
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