Description review
Senior Datacenter Technical Program Manager, At-Scale AI Clusters
NVIDIA · United States · back to the listing
HR standards
77/100
solid
Title ↔ description
90/100
strong
Reads as
Project Manager
98% confident
What this role officially is
project manager — ESCO, the EU occupation classification
Project managers ensure that a project is completed on time, within budget, and that its objectives are met. They oversee the project, manage the team, ensure the most efficient resources are used and ensure that all parties involved are satisfied.
Also known as: project coordinator, project leader, special project manager, project expediter, senior project manager, project director
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What the listing never says
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.Originally posted on Himalayas
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.Originally posted on Himalayas