Senior NCX Infra & Day-2 Operations Engineer

NVIDIA AI; Seattle (WA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA is seeking an NCX Senior Engineer to partner with NVIDIA Cloud Partners for reliable, production-grade infrastructure in large-scale AI deployments. You will drive Day 2 operations, health monitoring, and fleet lifecycle practices across GPU clusters and cloud environments.

Ideal candidates have extensive Linux/distributed systems experience, deep Kubernetes knowledge, and a proven ability to translate reference architectures into repeatable operating models.

Qualifications

• BS, MS, or PhD in Computer Science, Computer/Electrical Engineering, or related technical field, or equivalent experience.
• 8+ years of infrastructure engineering, SRE, DevOps, cloud platform engineering, or similar.
• Strong experience operating Linux-based distributed systems and cloud infrastructure in production.

Responsibilities

• Lead NCP Day 2 operational readiness efforts with NVIDIA Cloud Partners to set up systems, procedures, and automation for managing NVIDIA accelerated infrastructure post-deployment.
• Build continuous infrastructure validation across GPU, CPU, storage, and network health on large-scale AI clusters.
• Establish observability and telemetry with dashboards, alerts, and signals across compute, GPU, InfiniBand/RoCE networking, storage, Kubernetes, and AI workloads.

Skills

Kubernetes

Observability

Python

Go

Shell scripting

Education

Bachelor's degree in Computer Science or related field

Tools

Prometheus

Grafana

OpenTelemetry

Job description

NVIDIA is seeking an NCX Senior Engineer to partner with NVIDIA Cloud Partners for reliable, production-grade infrastructure in large-scale AI deployments. You will drive Day 2 operations, health monitoring, and fleet lifecycle practices across GPU clusters and cloud environments.

Ideal candidates have extensive Linux/distributed systems experience, deep Kubernetes knowledge, and a proven ability to translate reference architectures into repeatable operating models.