This role pays more than
51%
of similar roles. Most pay
$180,412–$241,562
— the shaded band above.
At the midpoint, this role pays about
$213k
versus about
$211k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Senior Datacenter Technical Program Manager, At-Scale AI Clusters will join the Applied Systems Engineering Team to drive datacenter integration for next-generation AI supercomputing systems. This role involves managing the full lifecycle of AI systems at scale, including design, requirements definition, and system integration into datacenter environments. The manager will collaborate with engineers and architects to build and deploy large-scale GPU computing systems based on reference architectures while coordinating the design and fit-out of new builds involving power, cooling, and instrumentation. Key responsibilities include producing detailed documentation for end-to-end processes and communicating with leadership to resolve critical issues. Required expertise includes high-performance computing systems and GPU clusters in on-premises datacenters. Preferred technical skills include monitoring and instrumentation tools such as Prometheus, Grafana, Splunk, Modbus, and BACNet to solve complex infrastructure challenges.
AI
LLM
ASIC
RTL Design
Simulation
Formal Verification
System Architecture
Scalable Infrastructure
Data Pipelines
Software Engineering
Program Management
Pre-silicon Workflows
Program Management
Engineering Operations
Infrastructure Deployment
Service Management
Product Roadmap
KPIs
System Architecture
Parallel Computing
QA Best Practices
Process Automation
Software Engineering Principles