Senior Platform Engineer: Kubernetes & Self-Service

Royper Royco LLC; United States; Remote; 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 supporting our EDA and hardware teams. You will enable a self-service path from source to production across cloud and on-prem environments.

You will own the Kubernetes cluster lifecycle, extend the platform with controllers, manage CI/CD pipelines, and onboard new teams. Strong Go/Python and production Kubernetes experience are required.

Qualifications

• 5+ years of software/infrastructure engineering for large-scale production systems.
• BS in Computer Science, Engineering, Physics, Mathematics, or related field, or equivalent experience.
• Strong programming experience in Go or Python, with solid data structures, algorithms, testing, and software design; Go preferred.
• Real production experience operating Kubernetes or a comparable large-scale platform with ownership of clusters/components.
• Experience building automation that makes decisions and acts on distributed infrastructure (controllers, operators, etc.).
• Understanding of performance, security, reliability, fault tolerance, state management, and data consistency in complex systems.
• Track record onboarding or migrating teams onto new infrastructure with self-service tooling and documentation.

Responsibilities

• Own the lifecycle of the Kubernetes clusters the platform runs on, including control plane, node lifecycle, and upgrades; provision bare-metal, storage, and networking.
• Build self-service capabilities (compute, secrets, certificates, DNS, access, deployment) for engineering teams.
• Extend Kubernetes with controllers and operators, using open-source projects where applicable; write custom where needed.
• Own the CI/CD pipelines and shared platform services, like policy, autoscaling, and observability.
• Onboard new teams/sites and define requirements to enable repeatable self-service tooling and documentation.
• Collaborate with EDA, infrastructure, networking, storage, and hardware teams to deliver scalable chip-design workloads.
• Share on-call duties including incident response, root-cause analysis, and capacity planning.

Skills

Go

Python

Distributed systems

Kubernetes

Incident response

Education

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or related field

Job description

NVIDIA is hiring engineers to build and operate the governed infrastructure platform supporting our EDA and hardware teams. You will enable a self-service path from source to production across cloud and on-prem environments.

You will own the Kubernetes cluster lifecycle, extend the platform with controllers, manage CI/CD pipelines, and onboard new teams. Strong Go/Python and production Kubernetes experience are required.