Senior Systems Software Engineer: Containers & Kubernetes

NVIDIA Corporation

California (MO)

Hybrid

USD 184,000 - 288,000

Full time

2 days ago
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Job summary

NVIDIA Corporation is seeking a Sr. Systems Software Engineer to contribute to platform software for GPU-accelerated workloads. You will design in Rust and Go, focus on container runtimes, and advance Kubernetes-based orchestration.

You will collaborate across NVIDIA teams to ensure integration across the stack, tackling challenging distributed systems problems while delivering robust, scalable solutions. This role emphasizes performance, security, and reliability.

Qualifications

  • 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, Rust) 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.

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.
  • Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack.

Skills

Go
Rust
Kubernetes
Unix/Linux
Distributed systems

Education

BS/MS in Computer Science

Tools

Kata Containers

Job description

NVIDIA Corporation is seeking a Sr. Systems Software Engineer to contribute to platform software for GPU-accelerated workloads. You will design in Rust and Go, focus on container runtimes, and advance Kubernetes-based orchestration.

You will collaborate across NVIDIA teams to ensure integration across the stack, tackling challenging distributed systems problems while delivering robust, scalable solutions. This role emphasizes performance, security, and reliability.

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