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Manager Supercomputer Jobs (NOW HIRING)

Uofl

$130K/yr

This position is responsible for management and administration of the university's central research computing infrastructure, including supercomputing clusters, software, and scalable storage systems.

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Manager Supercomputer information

What is the difference between Manager Supercomputer vs Supercomputing Systems Engineer?

AspectManager SupercomputerSupercomputing Systems Engineer
Required CredentialsBachelor's or master's in computer science, engineering, or related field; management experienceBachelor's or master's in computer science, computer engineering, or related field; technical certifications
Work EnvironmentOversees supercomputing facilities, manages teams, strategic planningDesigns, develops, and maintains supercomputing systems, works hands-on with hardware/software
Employer & Industry UsageResearch labs, government agencies, large tech companiesResearch institutions, high-performance computing centers, tech firms

The Manager Supercomputer primarily oversees supercomputing operations and manages teams, focusing on strategic and administrative tasks. In contrast, the Supercomputing Systems Engineer is more technically involved, designing and maintaining supercomputing systems. Both roles require strong technical backgrounds, but their responsibilities differ in scope and focus.

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Infographic showing various Manager Supercomputer job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Senior Datacenter Technical Program Manager, At-Scale AI Clusters

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

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

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 24, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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