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 across cloud and datacenter environments.
- Develop and maintain software features, automation, diagnostics, and deployment tools to improve product readiness and scale support.
- Own technically deep escalations from inception to closure, collaborating with customers and engineering teams on fixes and improvements.
Minimum Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
- At least 5+ years of system software development and troubleshooting experience; customer-facing experience preferred.
- Strong programming/scripting skills in Python; Bash required, Go/C++ are pluses.
- Deep knowledge of Linux; familiarity with GPU-accelerated AI/ML stacks, container platforms (Docker/Kubernetes), and cloud environments (AWS/Azure/GCP).
Ideal Candidate Profile
- Experienced in deploying and operating NVIDIA AI Enterprise components in production on-premises or cloud service provider environments.
- Strong troubleshooting and debugging skills across application, platform, and infrastructure layers, including performance tuning for GPU and cloud workloads.
- Comfortable working in complex Kubernetes-based production environments with knowledge of container orchestration and distributed systems.