Senior Software Engineer, DGX Cloud Production Engineering

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

SENIOR

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Security @ 4 Go @ 7 Kubernetes @ 4 Linux @ 4 Terraform @ 4 Python @ 7 ArgoCD @ 4 Distributed Systems @ 4 Communication @ 4 Networking @ 4 Debugging @ 4 API @ 4 GPU @ 4 Observability @ 4 AI @ 4

Details

NVIDIA DGX Cloud is building and operating large-scale GPU infrastructure for AI research and production workloads. This role is part of a production engineering team focused on Kubernetes-based infrastructure, GPU cluster operations, reliability, automation, GitOps, and Day 2 operability across DGX Cloud environments.

Responsibilities

Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments.
Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations.
Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup, handoff, and production operations.
Reduce manual production touches through APIs, GitOps, automation, and agent-assisted workflows.
Participate in on-call, incident response, debugging, and durable follow-up work.
Partner with platform, storage, networking, security, and workload teams to make infrastructure production-ready.

Requirements

8+ years of experience building or operating production infrastructure.
Strong programming skills in Python, Go, or similar.
Experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation.
Ability to troubleshoot distributed systems in production.
Clear communication and ability to work across teams.
BS/MS in Computer Science or equivalent experience.

Ways to stand out

Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation.
Experience with SLOs, on-call, incident response, observability, and reliability practices.
Exposure to BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure.

Compensation & Benefits

Base salary range for Level 4: 184,000 USD - 287,500 USD.
Base salary range for Level 5: 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits (link to NVIDIA benefits).

Other information

Applications for this job will be accepted at least until July 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.