Senior AI Infrastructure Engineer - DGX Cloud
NVIDIA Corporation (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 6h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and maintain large-scale AI training and inferencing platforms on cloud infrastructure ensuring high reliability and uptime.
- Conduct performance analyses on multi-GPU and multi-node clusters and support services throughout full lifecycle including deployment and operation.
- Manage capacity and system health, implement automation for scaling, and participate in on-call rotation for production system support.
Minimum Requirements
- Bachelor's degree in Computer Science or related technical field, or equivalent experience.
- 5+ years of relevant work experience in AI infrastructure or similar domains.
- Proficiency in one or more programming languages: Python, Go, C/C++, Java.
- In-depth knowledge of Linux, networking, storage, containers, and experience with infrastructure automation and distributed systems development.
Ideal Candidate Profile
- Experienced in running or developing large-scale private or public cloud systems with Kubernetes or similar technologies.
- Demonstrates capability in system design, capacity management, and sustainable incident response practices.
- Skilled at debugging, optimizing code, automating tasks, and communicating effectively while owning projects or collaborating in teams.