Senior Datacenter TPM for Scalable AI Clusters

NVIDIA; United States; On-site; USD 168,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Technical Program Manager to drive datacenter integration for the next generation of AI supercomputing systems. You will guide lifecycle activities from design and requirements to production support, coordinating across hardware and software teams to build scalable AI systems.

You will collaborate with engineers to deploy large-scale GPU computing systems, oversee datacenter fit-out, and document end-to-end processes for smooth handoffs to customers and partners.

Qualifications

• BS in Applied Science or Engineering or equivalent experience.
• 8+ years of overall experience.
• Experience with high-performance computing systems and GPU clusters deployed in on-premises datacenters.
• Strong problem-solving skills and drive to find solutions.
• Excellent teamwork and interpersonal abilities for multi-team coordination.

Responsibilities

• Collaborate with engineers and architects to deploy large-scale GPU computing systems based on reference architectures.
• Lead integration of AI clusters with datacenters, addressing power, cooling, and instrumentation needs.
• Coordinate design and fit-out of new datacenter builds with internal teams and external contractors.
• Own and produce detailed end-to-end documentation for datacenter fit-out and integration.
• Communicate with leadership to prioritize issues critical to major customers.

Skills

High-performance computing

GPU clusters

Collaboration & teamwork

Problem solving

Education

BS in Applied Science or Engineering

Tools

Prometheus

Grafana

Splunk

Modbus

BACNet

Job description

NVIDIA is seeking a Technical Program Manager to drive datacenter integration for the next generation of AI supercomputing systems. You will guide lifecycle activities from design and requirements to production support, coordinating across hardware and software teams to build scalable AI systems.

You will collaborate with engineers to deploy large-scale GPU computing systems, oversee datacenter fit-out, and document end-to-end processes for smooth handoffs to customers and partners.