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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 and deliver key engineering roadmaps to drive collaboration with cluster leads, systems engineers, and other program managers
Coordinate programs for internal and external software projects, turning future planning into smooth execution for next generation at-scale systems
Keep your finger on the pulse of short and long term bugs, feature requests and deep dives. Ensuring smooth collaboration across NVIDIA's engineering teams as we navigate complex systems and their challenges.
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); Masters preferred
8+ 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 systems software, including familiarity with the layers between a piece of silicon and Linux's userspace
Experience building and using large-scale cloud computing systems
Background with 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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