Senior Platform Engineer, Cloud-Native Infra & Self-Service

NVIDIA Corporation; Washington; On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring engineers to build and operate the governed infrastructure platform behind our EDA and hardware engineering organization, delivering a self-service path from source to production in cloud and on-premise environments.

The role focuses on running Kubernetes at scale, extending with controllers and operators, and creating self-service tooling so teams can declare needs and deploy automatically while maintaining reliability and uptime across sites.

Qualifications

• 5+ years of software/infrastructure engineering for large-scale systems.
• BS in CS, Engineering, Physics, Math, or related field.
• Strong Go or Python programming with solid CS fundamentals.
• Production experience operating Kubernetes at scale.
• Experience building automated distributed infrastructure.
• Ability to onboard teams to new infrastructure with self-service tooling.

Responsibilities

• Own lifecycle of Kubernetes clusters and bare-metal provisioning.
• Build self-service capabilities for compute, secrets, DNS, access, and deployment.
• Extend Kubernetes with controllers and operators.
• Own CI/CD pipelines and platform services for secure production path.
• Onboard new teams/sites with repeatable playbooks.
• Collaborate with EDA, infrastructure, networking, storage, and hardware teams.
• Share on-call duties and incident response.

Skills

Go

Python

Kubernetes

Distributed systems

Linux

Education

BS in CS/Engineering/Physics/Math

Tools

Cluster API

Metal3

Ceph

Cilium

Argo CD

Kyverno

Job description

NVIDIA is hiring engineers to build and operate the governed infrastructure platform behind our EDA and hardware engineering organization, delivering a self-service path from source to production in cloud and on-premise environments.

The role focuses on running Kubernetes at scale, extending with controllers and operators, and creating self-service tooling so teams can declare needs and deploy automatically while maintaining reliability and uptime across sites.