NCX Senior Engineer
NVIDIA Corporation (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 35–65 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead operational readiness for NVIDIA Cloud Partner (NCP) infrastructure beyond initial deployment, focusing on Day 2 operations including health, observability, lifecycle management, and remediation of large-scale GPU-accelerated clusters.
- Collaborate directly with NVIDIA Cloud Partners to establish and automate consistent operational procedures, monitoring, and validation for accelerated computing infrastructure in production.
- Develop and implement frameworks, tooling, health metrics, SLOs, and automation to ensure reliable, scalable, and repeatable infrastructure operations supporting AI workloads.
Minimum Requirements
- Minimum 8+ years experience in infrastructure engineering, Site Reliability Engineering, DevOps, cloud platform or systems engineering supporting large-scale production environments.
- Strong Linux-based distributed systems and cloud infrastructure operational experience, including Kubernetes and cluster lifecycle management.
- Programming and automation experience with Python, Go, shell scripting or similar languages.
- Education: BS, MS, or PhD in Computer Science, Computer/Electrical Engineering, or related technical field, or equivalent experience.
Ideal Candidate Profile
- Experience managing large-scale GPU or accelerated computing infrastructure supporting AI training and inference workloads.
- Proven ability to collaborate with strategic cloud partners, hyperscale providers, or managed AI cloud environments to operationalize infrastructure and maintain SLOs.
- Deep expertise with NVIDIA technologies (e.g., DGX, CUDA, NVLink, GPU Operator) and infrastructure observability tooling (Prometheus, Grafana, OpenTelemetry), translating reference architectures into operational practices.