Senior Datacenter Technical Program Manager, At-Scale AI Clusters
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 18h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 18d ago
The date the source published, not the day we noticed it (2026-09-14). Last seen at its source just now.
We have tracked this listing since 21 Sep 2026 (10 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$168k–258.8k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workday employer's own board first seen 10d ago · last seen just now
- location not stated
The listing
NVIDIA is looking for a highly-motivated Technical Program Manager (TPM) to join our Applied Systems Engineering Team to drive datacenter integration for the next generation of NVIDIA AI supercomputing systems. This TPM will play a crucial role throughout the lifecycle of the latest AI systems at scale, from datacenter design and requirements definition, through systems integration of AI clusters into the datacenter environment, and support for these systems as they enter production.
This role will drive collaboration between engineering leaders across multiple hardware and software teams, helping us work together to build AI supercomputers for NVIDIA engineers and develop reference architectures to advise customers and partners.
What you’ll be doing:
Collaborate with outstanding engineers and architects to build and deploy large scale GPU computing systems based on NVIDIA's reference supercomputing architectures
Lead the integration of new AI clusters with datacenter facilities with demanding requirements on power, cooling, and instrumentation
Coordinate design and fit-out of new datacenter builds, working with both internal engineering teams and external contractors
Own and produce detailed documentation for the end-to-end process for datacenter fit-out and integration
Communicate internally with engineering leadership to prioritize and address key issues essential to the success of our largest customers
What we need to see:
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
A passion for understanding challenging technical problems and driving the process of finding a solution
Strong teamwork and interpersonal skills, to facilitate building a collaborative workflow for coordination between many teams
Ways to stand out from the crowd:
Understanding of datacenter design, including familiarity with power and cooling technologies
Expertise in system monitoring and instrumentation of large clusters, using technologies such as Prometheus, Grafana, Splunk, Modbus, and BACNet
Experience working with the engineering or academic research community supporting high-performance computing or deep learning
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.