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Job Description
Structured overview of role & requirementsAbout This Role
Support, triage, and resolve complex customer software issues end-to-end for NVIDIA AI Enterprise deployments in cloud and datacenter environments.
Develop and maintain software features, automation tools, diagnostics, reproducible test cases, and deployment assets to improve product readiness and scale support.
Own customer escalations from reproduction to resolution, collaborate with engineering on fixes, and produce clear documentation and reports.
Minimum Requirements
Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or related field, or equivalent experience.
5+ years of system software development and troubleshooting experience, with some customer-facing exposure.
Strong programming/scripting skills, including mandatory Python; Bash required; Go/C++ is a plus.
Deep understanding of at least two areas among data centers/servers, distributed systems, virtualization, deep learning frameworks, containers (Docker/Kubernetes), hybrid cloud (AWS/Azure/GCP), and CI/CD.
Ideal Candidate Profile
Experienced in deploying and operating NVIDIA AI Enterprise components in production on-premises or cloud service provider environments.
Proficient with Kubernetes-based platforms in production, including cluster operations and failure diagnostics.
Strong troubleshooting and debugging skills spanning GPU workloads, cloud environments, and observability/tracing tools.