Senior Production Engineer - AI Cloud & DGX Ops

NVIDIA Corporation; Zürich; Hybrid; CHF 140,000 - 210,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior Production Engineer to build software and automation for DGX Cloud, ensuring reliability, scalability, and safe operation across model endpoints and compute infrastructure.

You will work on large-scale distributed systems spanning Kubernetes clusters across public clouds and on-premises, with a focus on health validation, rollouts, and observability.

Qualifications

• 8+ years of experience building or operating production services and large-scale distributed systems.
• Strong programming skills in Python or Go with experience building production tooling.
• Experience with infrastructure as code and GitOps for repeatable deployments.
• Strong knowledge of Linux, Kubernetes, containers, cloud infrastructure, networking fundamentals.
• Experience instrumenting services with metrics, logs, and traces to improve reliability.

Responsibilities

• Build and operate production software, automation, and tooling for DGX Cloud control plane services and model deployments.
• Improve availability, routing, capacity management, and observability of inference and agentic workloads.
• Define and instrument SLIs/SLOs for inference and control plane services; monitor error budgets.
• Collaborate with model, platform, storage, networking, security, and GPU infra teams to operate services safely at scale.
• Participate in on-call and incident response, turning recurring issues into automation.

Skills

Python

Go

Infrastructure as Code

GitOps

Linux

Kubernetes

Distributed systems

Education

BS/MS in Computer Science

Tools

Terraform

Argo CD

Docker

Job description

NVIDIA Corporation is seeking a Senior Production Engineer to build software and automation for DGX Cloud, ensuring reliability, scalability, and safe operation across model endpoints and compute infrastructure.

You will work on large-scale distributed systems spanning Kubernetes clusters across public clouds and on-premises, with a focus on health validation, rollouts, and observability.