Datacenter Technical Program Manager
About The Position
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
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- You will also be eligible for equity and benefits.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
