# Senior DGX Cloud AI Infrastructure Software Engineer

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

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-DGX-Cloud-AI-Infrastructure-Software-Engineer_JR2012361?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7e8aa181-4f3

## Description

Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on developing tools for optimizing efficiency and resiliency of AI workloads - pre-training, post-training, inference. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation.

We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI infrastructure that enable large-scale AI training and inferencing. The responsibilities include implementing software and systems engineering practices to ensure high efficiency and availability of AI systems.

As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science and be part of a dynamic, diverse, and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking.

If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now!

## Skills

### Required
- Developing software infrastructure for large-scale AI systems
- Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level
- Experience with observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki)
- Proven track record in building and scaling large-scale distributed systems
- Experience with AI training and inferencing infrastructure services
- Proficiency in programming languages such as Python, C/C++, script languages

### Nice to have
- Background in working with large-scale clusters
- Experience in defining and building observability and telemetry software stack
- Experience with RDMA software stack (NCCL, IB verbs, ucx, libfabrics)
- Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, and Ray

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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-DGX-Cloud-AI-Infrastructure-Software-Engineer_JR2012361?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)