# Principal Software Engineer, Distributed Systems Engineer - DGX Cloud

**Company**: NVIDIA
**Location**: Durham
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-NC-Durham/Principal-Software-Engineer--Distributed-Systems-Engineer---DGX-Cloud_JR2018153?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4441868e-b25

## Description

We are hiring experienced software engineers with Kubernetes experience to help scale up our AI Infrastructure. As a Principal Software Engineer, Distributed Systems Engineer, you will be part of the DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for various AI workloads. This includes working on custom software related to scheduling GPU resources on Kubernetes.

Your responsibilities will include implementing monitoring and health management capabilities that enable industry-leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.

You will work with teams across NVIDIA to ensure production AI clusters run reliably and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.

To succeed in this role, you will need direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. You should have software development experience with Kubernetes APIs and frameworks, not just operating a cluster.

You will be highly motivated with strong communication skills, able to work successfully with multi-functional teams, principles, and architects, and coordinate effectively across organizational boundaries and geographies.

You should have 15+ years of experience in a similar role and experience on large-scale production systems. You should be familiar with common software engineering principles, tools, and techniques.

You will possess a BS in Computer Science, Engineering, Physics, Mathematics, or a comparable degree or equivalent experience.

Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms, is required.

If you have technical competency in managing and automating large-scale distributed systems independent of cloud providers, advanced hands-on experience, and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager), you will stand out from the crowd.

Proven operational excellence in maintaining reliable and performant AI infrastructure is also essential.

As a Principal Software Engineer, Distributed Systems Engineer, you will be eligible for equity and benefits.

## Skills

### Required
- Kubernetes
- GPU
- Python
- Go
- Data Structures
- Algorithms
- Cluster Management
- Incident Management

### Nice to have
- Slurm
- Bright Cluster Manager
- Cloud Providers

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-NC-Durham/Principal-Software-Engineer--Distributed-Systems-Engineer---DGX-Cloud_JR2018153?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)