Senior Systems Engineer: GPU Containers and Kubernetes

Engg

United States

Remote

USD 184,000 - 288,000

Full time

2 days ago
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Job summary

NVIDIA is seeking a Sr. Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies.

You will be building software in Rust and Go, contributing to distributed systems, and helping enable GPUs as first-class resources in container orchestrators like Kubernetes. This is a core Cloud Native role at NVIDIA with collaboration across engineering teams to ensure seamless integration.

Qualifications

  • BS/MS in Computer Science, or related field (or equivalent experience)
  • Expert-level knowledge in a systems programming language (Go, Rust)
  • Strong understanding of Container Orchestration Systems (K8s)
  • 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.

Responsibilities

  • 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.
  • Collaborate with engineering teams across NVIDIA to ensure seamless integration across the stack.

Skills

Go
Rust
Kubernetes
Linux
Distributed systems
Data Structures & Algorithms

Education

BS/MS in Computer Science

Tools

Kata Containers

Job description

NVIDIA is seeking a Sr. Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies.

You will be building software in Rust and Go, contributing to distributed systems, and helping enable GPUs as first-class resources in container orchestrators like Kubernetes. This is a core Cloud Native role at NVIDIA with collaboration across engineering teams to ensure seamless integration.

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