Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, mid-level (5+ years), and metro location raise qualified applicant density.
Role requires specialized GPU, cloud-native, and NVIDIA AI Enterprise expertise, reducing cross-industry portability.
Explicit 5+ years plus required Kubernetes, Python, Linux, and GPU troubleshooting skills.
Support and resolve complex customer software issues end-to-end for NVIDIA AI Enterprise deployments in cloud and datacenter environments.
Develop software features, automation, diagnostics, and deployment tools to improve product readiness and scalability of support.
Collaborate with customers and internal engineering teams to diagnose issues, provide mitigations, and contribute code fixes or patches.
Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering or related field (or equivalent experience).
Minimum 5+ years of system software development and troubleshooting experience, ideally customer-facing.
Strong programming/scripting skills with Python required; Bash; Go/C++ a plus.
Deep understanding of at least two: data centers/servers, distributed systems, virtualization, deep learning frameworks, containers (Docker/Kubernetes), hybrid cloud (AWS/Azure/GCP), CI/CD deployment; strong Linux troubleshooting skills.
Experienced in deploying and supporting NVIDIA AI Enterprise or similar AI/ML production stacks in on-prem or cloud service provider environments.
Capable of deep technical debugging across application, platform, and infrastructure layers, with strong knowledge of Kubernetes and GPU/cloud workload performance tuning.
Effective communicator with ability to handle high-impact customer escalations and collaborate across engineering and support teams.