Systems Engineer: Containers, Conf. Computing & Equity

NVIDIA

California (MO)

On-site

USD 184,000 - 288,000

Full time

11 days ago

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Benefits offered by this job

Equity

Job summary

NVIDIA is seeking a Sr. Systems Software Engineer to design and implement platform software for container runtimes and Kubernetes, with emphasis on Rust and Go. You’ll contribute to distributed systems, Unix/Linux internals, and cloud-native technologies to enable GPUs as first-class resources in orchestration layers.

You will collaborate across NVIDIA teams to ensure seamless integration, tackle complex engineering challenges, and drive robust, scalable solutions in a fast-paced environment.

Qualifications

  • BS/MS in Computer Science or related field (or equivalent experience).
  • 8+ years of relevant work experience.
  • Expert-level knowledge in Go and Rust.
  • Strong understanding of Kubernetes and Container technology.
  • Expert knowledge of Unix/Unix-like kernel internals (Linux).
  • Strong background in Cloud and Distributed software design.

Responsibilities

  • Develop and evolve platform software for container runtimes and Kubernetes integration.
  • Enable GPUs as first-class resources in container orchestration environments.
  • Collaborate with NVIDIA teams to ensure seamless integration across the stack.
  • Contribute to architecture, design discussions and code reviews.
  • Balance multiple priorities while delivering robust, reliable software.

Skills

Go
Rust
Kubernetes
Unix/Linux kernel
Data Structures & Algorithms
Distributed software design

Education

BS/MS in Computer Science or related field

Tools

Kata Containers
Container sandboxing
SR-IOV

Job description

NVIDIA is seeking a Sr. Systems Software Engineer to design and implement platform software for container runtimes and Kubernetes, with emphasis on Rust and Go. You’ll contribute to distributed systems, Unix/Linux internals, and cloud-native technologies to enable GPUs as first-class resources in orchestration layers.

You will collaborate across NVIDIA teams to ensure seamless integration, tackle complex engineering challenges, and drive robust, scalable solutions in a fast-paced environment.

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