You'll be part of a small and dynamic team that explores innovative ways to make GPU accelerated applications easier to develop, deploy, and monitor
Work on enabling GPUs as first-class resources in container orchestrators such as Kubernetes
Join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment
Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack
Proficiently multitask on different tracks to efficiently address evolving priorities

Requirements

BS/MS in Computer Science, or related field (or equivalent experience)
12+ years of relevant work experience
Expert level knowledge in a systems programming language (Go, C)
Solid understanding of Data Structures and Algorithms
Strong understanding of Container Orchestration Systems (K8s)
Knowledge and experience working with System internals of the Linux Operating System
Strong background in Cloud Computing and Distributed Software design and development
Understanding of performance, security and reliability in complex distributed systems

Benefits

equity
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GoCData StructuresAlgorithmsContainer Orchestration SystemsKubernetesLinux Operating SystemCloud ComputingDistributed Software designDistributed systems

Soft Skills

multitaskingadaptabilityteam collaborationproblem-solvingcommunication

Certifications

BS in Computer ScienceMS in Computer Science