Senior Datacenter Technical Program Manager, At-Scale AI Clusters at NVIDIA

You're a seasoned Technical Program Manager with at least 8 years of experience and a Bachelor's in Applied Science or Engineering, or equivalent experience, lo

Work type: remote

Location: US, CA, Santa Clara | US, CA, Remote | US, Remote

Salary: $168,000 – $258,750/yr

Type: Full-time

Summary

You're a seasoned Technical Program Manager with at least 8 years of experience and a Bachelor's in Applied Science or Engineering, or equivalent experience, looking to drive datacenter integration for large-scale AI supercomputing systems. **What makes it worth a look...** This full-time, fully remote Senior Datacenter Technical Program Manager role is with NVIDIA, offering a base salary range of $168,000 - $258,750 USD annually, plus equity and benefits. **You might be a good fit if you...** * Have experience with high-performance computing systems and GPU clusters in on-premises datacenters. * Understand datacenter design, including power and cooling technologies. * Are proficient in system monitoring tools like Prometheus, Grafana, Splunk, Modbus, and BACNet. * Possess a passion for solving challenging technical problems.

Job Description

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

• 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

• 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](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 20, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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