Senior Systems Engineer: GPU Containers & Kubernetes

NVIDIA Corporation

North Carolina

On-site

USD 184,000 - 288,000

Full time

7 days ago
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Job summary

NVIDIA is seeking a Sr. Systems Software Engineer to advance platform software built around open-source container runtimes and Kubernetes.

You will design and implement in Rust and Go, building distributed systems and ensuring tight integration with GPU-enabled workloads. You will collaborate across NVIDIA teams to enable GPUs as first-class resources in container orchestration, contribute to core Cloud Native tooling, and tackle challenging performance and security requirements in a fast-paced

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).
  • Strong understanding of Kubernetes and container technology.
  • Expert knowledge of Unix/Linux system internals.
  • Cloud computing and distributed software design experience.
  • Understanding of performance, security, and reliability in 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.
  • 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 multitasking on different tracks to efficiently address evolving priorities.

Skills

Go
Rust
Kubernetes
Distributed systems
Unix/Linux

Education

BS/MS in Computer Science

Tools

Kata Containers
Container sandboxing

Job description

NVIDIA is seeking a Sr. Systems Software Engineer to advance platform software built around open-source container runtimes and Kubernetes.

You will design and implement in Rust and Go, building distributed systems and ensuring tight integration with GPU-enabled workloads. You will collaborate across NVIDIA teams to enable GPUs as first-class resources in container orchestration, contribute to core Cloud Native tooling, and tackle challenging performance and security requirements in a fast-paced

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