NVIDIA

NVIDIA

Posted via Workday

Senior Datacenter Technical Program Manager, At-Scale AI Clusters

Posted Aug 5, 2026

Role at a glance

Salary
$168K – $322K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
8+ years of overall experience
Education
BS in Applied Science or Engineering (or equivalent experience)

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Role Summary

AI-generated

The Technical Program Manager will join NVIDIA’s Applied Systems Engineering Team to drive datacenter integration for next-generation AI supercomputing systems. The role spans datacenter design and requirements definition, AI cluster integration, production support, and development of reference architectures for customers and partners.

What You'll Do

  • Collaborate with engineers and architects to build and deploy large-scale GPU computing systems based on NVIDIA’s reference...
  • Lead the integration of new AI clusters with datacenter facilities, including power, cooling, and instrumentation requirements.
  • Coordinate the design and fit-out of new datacenter builds with internal engineering teams and external contractors.
  • Own and produce detailed documentation for the end-to-end datacenter fit-out and integration process.
  • Communicate with engineering leadership to prioritize and address key issues essential to the success of NVIDIA’s largest customers.

Generated from the employer's posting. Verify important details before applying.

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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 teamwork and interpersonal skills.

Required

  • 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

Preferred

  • 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,...
  • Experience working with the engineering or academic research community supporting high-performance computing or deep learning

Original job description

Content provided by the employer

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 4, 2026.

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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.