Senior Platform Engineer - Kubernetes & GPU AI Infra

2100 NVIDIA USA

Seattle (WA)

On-site

USD 272,000 - 431,000

Full time

14 days+

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Benefits offered by this job

Equity
Benefits

Job summary

NVIDIA is seeking a Principal Software Engineer for DGX Cloud in Seattle. You’ll lead a small team to design software that manages a fleet of Kubernetes clusters for GPUs and DPUs, contributing to the core Cloud Native stack and orchestrating production-grade workflows.

The role emphasizes automation, reliability, and security across distributed systems, with extensive experience in Go/C, Kubernetes, and Linux kernel internals. Eligible for equity and comprehensive benefits.

Qualifications

  • BS/MS in Computer Science or a related field (or equivalent experience).
  • 15+ years of proven work experience in large scale environments.
  • Expert-level knowledge in systems programming languages (Go, C).
  • Strong understanding of Kubernetes and container technology.
  • Experience with Unix/Linux kernel internals and automation.
  • Proven ability to set up, maintain, and automate CI/CD systems.
  • Strong background in cloud computing and distributed software design.
  • Understanding of performance, security, and reliability in distributed systems.

Responsibilities

  • Be part of a small, dynamic team building and maintaining GPU/DPU cluster management software.
  • Design and develop software to manage a fleet of Kubernetes clusters for GPUs/DPUs.
  • Contribute to Cloud Native tech on the NVIDIA Kubernetes stack.
  • Collaborate with NVIDIA engineering teams for integration and delivery.
  • Automate build, test, integration, and release processes for cloud-native apps.
  • Multitask across projects and adapt to evolving priorities.

Skills

Go
C
Kubernetes
Cloud computing
Distributed systems
Unix/Linux
CI/CD
Go programming

Education

BS/MS in Computer Science or related field

Tools

Gitlab
Argo
Flux

Job description

NVIDIA is seeking a Principal Software Engineer for DGX Cloud in Seattle. You’ll lead a small team to design software that manages a fleet of Kubernetes clusters for GPUs and DPUs, contributing to the core Cloud Native stack and orchestrating production-grade workflows.

The role emphasizes automation, reliability, and security across distributed systems, with extensive experience in Go/C, Kubernetes, and Linux kernel internals. Eligible for equity and comprehensive benefits.

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