Senior Systems Software Engineer, Containers, Kubernetes

NVIDIA

Senior Systems Software Engineer building NVIDIA GPU platform software for containers and Kubernetes. Enabling cloud-native accelerator deployment, monitoring, and orchestration across NVIDIA’s engineering stack.

Posted 9/2/2026full-timeRemote • California, Texas, Washington • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in GPU accelerated application development and deployment, with a strong focus on container orchestration using Kubernetes. Possesses extensive experience in systems programming, cloud computing, and distributed software design, ensuring seamless integration and performance in complex environments.

Highest-signal resume keywords

Go Programming LanguageContainer Orchestration SystemsKubernetesCloud ComputingLinux Operating System

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Systems ProgrammingData StructuresAlgorithmsContainer TechnologyDistributed Software DesignPerformance OptimizationSecurity in Distributed SystemsK8s Operator FrameworkContainer Device InterfaceDynamic Resource Allocation

Soft Skills

CollaborationMultitasking

Tools & Technologies

KubernetesCNCF Projects

Industry Keywords

GPU AccelerationCloud Native Technologies

Tech Stack

Tools & technologies

CloudDistributed SystemsGoKubernetesLinux

About the role

Key responsibilities & impact

Explore innovative ways to make GPU accelerated applications easier to develop, deploy, and monitor
Enable GPUs as first-class resources in container orchestrators such as Kubernetes
Work with the core group on Cloud Native technologies enabling NVIDIA accelerators in the Kubernetes environment
Collaborate with engineering teams across NVIDIA to ensure software integrates seamlessly across the stack
Multitask across different tracks to address evolving priorities

Requirements

What you’ll need

BS/MS in Computer Science, or related field (or equivalent experience)
8+ 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) and Container Technology
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
Strong experience with Go programming language, Containers and Kubernetes
Active recent participation and consistent technical contributions to CNCF and Kubernetes SIG projects
Experience with K8s Operator framework, Container Device Interface (CDI) and Dynamic Resource Allocation (DRA)

Benefits

Comp & perks

Equity
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