Software Solutions Engineer

About the role

We are looking for a Software Solutions Engineer to support NVIDIA AI Enterprise customers and deployments across cloud and datacenter environments. (1) Support, triage and resolve complex customer software issues end-to-end, and (2) build software features, automation, diagnostics, reproducible test cases, and deployment tooling—to improve product readiness and scale support across enterprise environments.

What you'll do

• Develop and maintain product-facing features and deployment assets for AI Enterprise supportability (e.g., scripts, configuration guidance
• Contribute code-level fixes, patches, or pull requests (as appropriate) in collaboration with engineering to address customer-impacting issues and improve product…
• Take ownership of customer issues from inception to resolution: reproduce in lab/cloud, collect diagnostics, provide mitigations, and partner with engineering on fixes
• Create high-quality bug reports and RFEs with clear repro steps, environment details (CSP/Kubernetes/GPU), impact analysis, and supporting artifacts
• Develop customer-facing and internal documentation (KBs, runbooks, deployment guidance) to improve time-to-value and reduce recurring issues

What you need

• 5–9 years in software engineering
• Python
• Kubernetes
• AWS
• Docker
• Test cases
• Deep learning
• B.Sc or B.Tech or B.E.

Good to have

• C++
• Go
• Linux
• Bash
• GCP
• CI/CD