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# Senior System Software Engineer, DGX Cloud AI Infrastructure

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $224,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Distributed Computing Environment, Fault Tolerance, Open Source Technology, Tensorflow, Supercomputing, System Software, AI Infrastructure, Graphics Processing Unit (GPU), Pytorch, Large Language Models, AI Platforms, Integration Tests, Kubernetes, Information Technology, Slurm, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-System-Software-Engineer--DGX-Cloud-AI-Infrastructure_JR2029457

## About the Role

* BS, MS or PhD in Computer Science or a related field (or equivalent experience), plus 12+ years of experience.
 * Proven experience who has taken large systems from design through production.
 * Strong experience with Kubernetes and/or Slurm at scale.
 * Hands-on experience with PyTorch, TensorFlow, JAX or Ray.
 * Strong understanding of NVIDIA GPUs and networking, including how they fail.
 * Experience running production services, including CI/CD, monitoring, alerting and on-call.

Ways to Stand Out from the Crowd:

 * Hands-on experience with fault tolerance or checkpointing for large-scale distributed training on GPU supercomputers.

 * Demonstrated experience building LLM-based agents or AI tools for performance analysis or troubleshooting.
 * Background in building external services or maintaining open-source projects in ML infrastructure.

## Description

We're looking for a Senior Software Engineer for the NVIDIA Recovery and Resilience team. You'll own our AI infrastructure services, tools and open-source projects to support resilient and efficient training from design through production. You'll also mentor engineers and decide how the team runs what it builds.

What You Will Be Doing:

 * Drive the design, build, launch and operation of our services, tools and open-source projects.
 * Plan and assign the team's work, mentor junior engineers and review designs.
 * Build resilient AI infrastructure on Kubernetes and Slurm for NVIDIA's own training workloads and customer workloads. This includes supercomputers at major cloud providers and on-premises clusters.
 * Build APIs that connect to NVIDIA's resiliency systems: telemetry, break/fix automation, and checkpoint and execution systems.
 * Build a job submission layer that hides infrastructure failures from users and restarts long-running training jobs automatically.
 * Build agentic tools that help customers improve training efficiency by finding bottlenecks, diagnosing failures and recommending fixes.
 * Drive our open-source work. Release components so customers and the community can use them, and work with them to improve those components.
 * Set up how the team runs its services: support, monitoring, alerts, CI/CD, integration test gates and on-call plans.