# Software Engineer - Kubernetes and AI Infrastructure

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Salary**: $152,000 - $241,500 (Level 3), $184,000 - $287,500 (Level 4)
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--Distributed-Systems-Engineer---DGX-Cloud_JR2026619?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a0aff9a7-96b

## Description

NVIDIA is seeking experienced software engineers to join its DGX Cloud team, focusing on scaling AI infrastructure using Kubernetes. You will work on production systems that enable large-scale GPU clusters for various AI workloads, developing custom software for GPU resource scheduling on Kubernetes.

Responsibilities:

- Develop and implement monitoring and health management capabilities for industry-leading reliability, availability, and scalability of GPU assets.

- Work with cross-functional teams to ensure production AI clusters run reliably and consistently with maximum performance.

- Evaluate system failures and improve services based on a well-defined incident management process.

Requirements:

- 5+ years of experience in a software engineering role within a highly technical organization.

- Direct experience with Kubernetes APIs and frameworks, beyond just operating a cluster.

- Strong communication skills and ability to work with multi-functional teams.

- Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or equivalent experience.

- Proficiency in a systems programming language (Go, Python) and understanding of data structures and algorithms.

Preferred qualifications:

- Technical competency in managing and automating large-scale distributed systems independent of cloud providers.

- Advanced hands-on experience with cluster management systems (Kubernetes, Slurm, Bright Cluster Manager).

- Proven operational excellence in maintaining reliable and performant AI infrastructure.

NVIDIA offers a competitive salary range of $152,000 - $287,500, depending on location, experience, and level. You will also be eligible for equity and benefits.

## Skills

### Required
- Kubernetes
- GPU resource scheduling
- Python
- Go
- data structures
- algorithms
- software engineering

### Nice to have
- cluster management systems
- distributed systems automation
- AI infrastructure operation

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--Distributed-Systems-Engineer---DGX-Cloud_JR2026619?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)