Software Solutions Engineer

We are looking for a Software Solutions Engineer to support NVIDIA AI Enterprise customers and deployments across cloud and datacenter environments. This is a dual role: (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.

You will work across compute and cloud-native technologies in CSP environments, including container platforms/orchestrators, enterprise system software, and GPU-accelerated AI frameworks and inference services used to run production AI workloads at scale. In this customer-facing role, you will work closely with customers and internal engineering teams to understand issues, explain root causes, drive resolution, and collaborate on fixes and improvements. Success in this role requires strong debugging skills, crisp communication, and ownership of technically deep escalations from inception to closure.

What you'll be doing:

- Develop and maintain product-facing features and deployment assets for AI Enterprise supportability (e.g., scripts, configuration guidance, Kubernetes manifests/Helm charts, and reproducible test cases)

- Develop and maintain Python-based tooling/automation (validators, log collectors, repro harnesses) to improve NVIDIA AI Enterprise deployment reliability across NGC and container orchestrators (e.g., Kubernetes)

- Contribute code-level fixes, patches, or pull requests (as appropriate) in collaboration with engineering to address customer-impacting issues and improve product readiness

- Support enterprise customers deploying NVIDIA AI Enterprise in datacenter and CSP environments, including Kubernetes-based and containerized production AI platforms

- 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

- Be on call one weekend per month in the event a customer has a Sev1 outage and requires engineering assistance