Senior Software Engineer, Platform Engineering - EDA Infrastructure

NVIDIA Corporation; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking an experienced infrastructure engineer to own Kubernetes clusters, bare-metal provisioning, storage, and networking across production environments.

You will build self-service platform capabilities, automate distributed infrastructure, and document repeatable tooling to onboard teams and sites. Expect on-call incident response and capacity planning as part of the role.

Qualifications

• Requires at least five years of software or infrastructure engineering experience in production systems.
• Candidates should have strong Go or Python skills and Kubernetes experience.
• Experience automating distributed infrastructure and enabling teams to adopt infra tooling.

Responsibilities

• Own the lifecycle of Kubernetes clusters and bare-metal provisioning, storage, and networking.
• Build self-service platform capabilities, automation, and shared services.
• Onboard teams through repeatable tooling and documentation; participate in on-call incident response and capacity planning.

Skills

Go

Python

Kubernetes

Distributed Systems

Infrastructure Engineering

Bare-Metal Provisioning

Cluster Scheduling

Controllers And Operators

CI/CD

Infrastructure Automation

Cloud-Native Platforms

Observability

Networking

Storage

Incident Response

Capacity Planning

Education

Bachelor's degree in a relevant field

Job description

Own the lifecycle of Kubernetes clusters and the underlying bare-metal provisioning, storage, and networking, while building self-service platform capabilities, automation, and shared services. Onboard teams and sites through repeatable tooling and documentation, collaborate with hardware and infrastructure groups on EDA workloads, and participate in on-call incident response and capacity planning.

Requirements:

Requires at least five years of software or infrastructure engineering experience supporting large-scale production systems, plus a bachelor's degree in a relevant field or equivalent experience. Candidates should have strong Go or Python skills, hands-on experience operating Kubernetes or a comparable platform, experience automating distributed infrastructure, and a record of enabling teams to adopt infrastructure independently.

Key Skills:

• Go
• Python
• Kubernetes
• Distributed Systems
• Infrastructure Engineering
• Bare-Metal Provisioning
• Cluster Scheduling
• Controllers And Operators
• CI/CD
• Infrastructure Automation
• Cloud-Native Platforms
• Observability
• Networking
• Storage
• Incident Response
• Capacity Planning

Benefits:

• Equity
• Benefits