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What you will be doing:
You'll be part of a small and dynamic team that explores innovative ways to make GPU and DPU accelerated applications easier to develop, deploy, and monitor.
Work on enabling GPUs and DPUs as first-class resources in container orchestrators such as Kubernetes.
This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment to solve complex training and inferencing problems.
Work with engineering teams across all of NVIDIA to ensure that your software integrates seamlessly up and down the stack.
Efficiently multitasking on different tracks to address evolving priorities.
What we need to see:
BS/MS in Computer Science, or education or experience in a related field (or equivalent experience).
8+ years of relevant work experience.
Expert level knowledge in a systems programming language (Go, C) and solid understanding of Data Structures and Algorithms.
Strong understanding of Container Orchestration Systems (K8s) and Container Technology.
Expert knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux.
Strong background in Cloud Computing and Distributed Software design and development.
Understanding of performance, security and reliability in complex distributed systems.
Ways to stand out from the crowd:
Strong experience with the Go programming language.
Real world strong hands-on experience with Containers and Kubernetes.
You will also be eligible for equity and .
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