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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
Define key product requirements and specifications to drive collaboration with architecture leads, systems engineers, and other program managers
Track the development of upcoming server, networking, and storage technologies across multiple product roadmaps to feed into integrated datacenter systems
Coordinate programs for designing new cluster architectures, adapting them to changing market requirements, and translating those designs into deployed computing systems for production use
Document system designs to facilitate the teamwork of multiple engineering groups working on datacenter deployments at scale
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 (Masters preferred) in Applied Science or Engineering (or equivalent experience)
6+ years of overall experience
Experience with accelerated computing systems, high-performance computing, and Linux-based operating systems
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
Experience building and using large-scale cloud computing systems
Experience working with the engineering or academic research community supporting high-performance computing or deep learning
You will also be eligible for equity and .
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