← All roles

NCX Senior Engineer

NVIDIA· Engineer, Sys SW
Apply on company site
India, Bengaluru, India, Hyderabad, India, Punefull-timePosted 1mo ago

About the role

Senior engineer focused on NVIDIA Cloud Partner (NCP) infrastructure operations within the DSX team, driving Day 2 operational readiness, observability, automation, and lifecycle management for large-scale NVIDIA accelerated infrastructure in production.

Responsibilities

  • Lead NCP Day 2 operational readiness efforts. Collaborate with NVIDIA Cloud Partners to set up systems, procedures, automation, and operational methods to manage NVIDIA accelerated infrastructure after initial deployment.
  • Build continuous infrastructure validation across GPU, CPU, storage, and network health for large-scale AI clusters to detect degraded infrastructure before impacting workloads.
  • Establish observability and operational telemetry with monitoring, alerting, dashboards, and signals across compute, GPU, InfiniBand/RoCE networking, storage, Kubernetes, and AI workloads.
  • Develop automated detection and remediation workflows to detect, isolate, drain, repair, validate, and restore infrastructure with minimal disruption.
  • Refine fleet lifecycle administration including driver/firmware lifecycle, Kubernetes node maintenance, OS patching, configuration management, upgrades, and drift detection.
  • Operationalize NVIDIA reference architectures by translating requirements into production practices, validation criteria, runbooks, automation, and standards.
  • Define operational health and readiness, including health signals, SLOs, metrics, and acceptance criteria for reliability and readiness.
  • Build reusable operational frameworks with tooling, runbooks, playbooks, and reference implementations for consistent application across multiple NCP environments.

Qualifications

  • BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or related field, or equivalent experience.
  • 8+ years of experience in infrastructure engineering, SRE, DevOps, cloud platform engineering, or similar roles supporting large-scale production environments.
  • Strong experience operating Linux-based distributed systems and cloud infrastructure in production.
  • Deep understanding of Kubernetes, containers, cluster scheduling, and operational lifecycle of large multi-node environments.
  • Strong understanding of production observability (metrics, logging, alerting, dashboards, health checks) and SLA-guided operations.
  • Experience crafting automation for infrastructure lifecycle management, failure detection, remediation, upgrades, and configuration management.
  • Strong networking fundamentals and ability to troubleshoot complex distributed systems across compute, network, and storage layers.
  • Programming and automation experience using Python, Go, shell scripting, or similar languages.

Skills

Required:Linux system administrationKubernetesObservability and monitoringAutomation and scriptingNetworking fundamentalsProgramming

Benefits

  • (Not specified in the provided description)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA