Software Solutions Engineer
NVIDIA Corporation (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 20–40 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.