NCX Senior Engineer

NVIDIA AI; Indiana (PA); On-site; USD 180,000 - 240,000; Full time

Job summary

NVIDIA is hiring an NCX Senior Engineer to drive Day 2 operations for NVIDIA Cloud Partners and ensure reliable, large-scale accelerated infrastructure in production. You will work across compute, storage, networking, and AI workloads in partnership with partner teams.

You will develop observability, automation, and lifecycle management practices, translate reference architectures into production runbooks, and lead ongoing validation to sustain high availability and performance for critical

Qualifications

• BS, MS, or Ph.D. in CS/Engineering or related field, or equivalent experience.
• 8+ years of infrastructure engineering, SRE, DevOps or related large-scale production roles.
• Strong Linux-based distributed systems and cloud infrastructure experience.
• Deep Kubernetes and container lifecycle knowledge for large multi-node environments.
• Strong production observability including metrics, logging, dashboards and SLAs.
• Experience crafting automation for infra lifecycle, failure detection, remediation and upgrades.
• Strong networking fundamentals across compute, network and storage layers.
• Programming and automation with Python, Go or shell scripting.

Responsibilities

• Lead NCP Day 2 operational readiness efforts with partner teams to set up systems and runbooks.
• Build continuous infrastructure validation across GPU/CPU/storage/network health for large AI clusters.
• Establish observability, telemetry, dashboards, alerts across compute, networking, storage and AI workloads.
• Develop automated detection and remediation workflows to minimize disruption.
• Refine fleet lifecycle administration including driver firmware and patch management.
• Operationalize NVIDIA reference architectures into production practices and criteria.
• Define health signals, SLOs and validation mechanisms for reliability and readiness.
• Create reusable operational frameworks, guides, and reference implementations.

Skills

Linux

Kubernetes

Observability

Python

Go

Education

BS/MS/PhD in CS/Engineering or related field

Tools

Prometheus

Grafana

OpenTelemetry

Alertmanager

Job description

Job Requisition ID JR2024942

Job Category Engineering

Time Type Full time

NVIDIA is hiring an NCX Senior Engineer who is passionate about NVIDIA Cloud Partner (NCP) infrastructure operations to join our DSX team. This role involves working closely with strategic NVIDIA Cloud Partners to build and improve the operational capabilities essential for running large-scale NVIDIA accelerated infrastructure reliably in production.

Your role involves guiding partners beyond the initial cluster deployment and validation phase into advanced Day 2 operations. These operations cover ongoing infrastructure health, observability, lifecycle management, quick remediation, performance validation, and operational readiness. You will engage directly with partner engineering and operations teams to develop consistent approaches that support NVIDIA workloads and the broader external customer environments of the partners. This is a highly technical, hands-on role at the intersection of NVIDIA accelerated computing, cloud infrastructure, distributed systems, and production operations.

What You'll Be Doing

• Lead NCP Day 2 operational readiness efforts. Collaborate directly with NVIDIA Cloud Partners to set up the systems, procedures, automation, and operational methods necessary to consistently manage NVIDIA accelerated infrastructure following initial deployment and activation.
• Build continuous infrastructure validation. Develop and implement methods to continuously validate GPU, CPU, storage, and network health. Do this across large-scale AI clusters to identify degraded infrastructure before it impacts critical training or inference workloads.
• Establish observability and operational telemetry. Help NCPs implement comprehensive telemetry, monitoring, alerting, dashboards, and operational signals across compute, GPU, InfiniBand/RoCE networking, storage, Kubernetes, and AI workloads.
• Develop automated detection and remediation. Build workflows to detect, isolate, drain, repair, validate, and return unhealthy infrastructure to service while minimizing disruption to customer workloads.
• Refine fleet lifecycle administration. Implement scalable strategies for managing sizable GPU fleets, including NVIDIA driver and firmware lifecycle administration, Kubernetes node maintenance, OS patching, configuration management, upgrades, and configuration drift identification.
• Operationalize NVIDIA reference architectures. Translate NVIDIA NCP requirements and reference architectures into production operating practices, validation criteria, runbooks, automation, and measurable operational standards.
• Define operational health and readiness. Develop health signals, SLOs, important metrics, acceptance criteria, and ongoing validation mechanisms that provide NVIDIA and NCPs with clear insight into infrastructure reliability and service readiness.
• Build reusable operational frameworks. Develop tooling, automation, implementation guides, runbooks, operational playbooks, and reference implementations that can be applied consistently across multiple NCP environments.

What We Need To See

• BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience.
• 8+ years of experience in infrastructure engineering, Site Reliability Engineering, DevOps, cloud platform engineering, systems 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 the operational lifecycle of large multi-node environments.
• Strong understanding of production observability, including metrics, logging, alerting, dashboards, health checks, and operations guided by service level agreements.
• Experience crafting automation for infrastructure lifecycle management, failure detection, remediation, upgrades, and configuration management.
• Strong networking fundamentals and experience troubleshooting complex distributed systems across compute, network, and storage layers.
• Programming and automation experience using Python, Go, shell scripting, or similar languages.

Ways To Stand Out From The Crowd

• Experience managing extensive GPU or accelerated computing infrastructure that supports AI training and inference workloads.
• Experience with NVIDIA technologies including DGX/HGX systems, CUDA, NVLink/NVSwitch, NVIDIA networking, InfiniBand, RoCE, GPU Operator, Network Operator, or related NVIDIA infrastructure software.
• Proven experience collaborating with NVIDIA Cloud Partners, hyperscale cloud providers, managed AI clouds, or extensive service-provider infrastructure and operating SLOs for large-scale compute infrastructure and using operational data to improve availability, performance, and fleet efficiency.
• Extensive knowledge of infrastructure observability tools including Prometheus, Grafana, OpenTelemetry, Alertmanager, and scalable telemetry pipelines and translating reference architectures or infrastructure requirements into repeatable production operating models across multiple customer or partner environments.
• Knowledge of failure modes related to large distributed AI workloads and the infrastructure features necessary to consistently support extended training and production inference.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us.