Senior Software Engineer, Platform Engineering - EDA Infrastructure

NVIDIA Corporation; Durham (NC); On-site; USD 115,000 - 155,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking an experienced infrastructure engineer to own the end-to-end lifecycle of Kubernetes clusters and the underlying bare-metal provisioning, storage, and networking. You will build reusable platform capabilities and automation, and deliver CI/CD services to empower teams across NVIDIA’s environments.

You will onboard sites via repeatable tooling and thorough documentation, collaborate with hardware and infrastructure groups on EDA workloads, and participate in on-call

Qualifications

• Requires at least five years of software or infrastructure engineering experience.
• Bachelor's degree or equivalent experience.
• Strong programming skills in Go or Python.

Responsibilities

• Own the lifecycle of Kubernetes clusters and the underlying bare-metal provisioning, storage, and networking.
• 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.

Skills

Go

Python

Kubernetes

Distributed Systems

Infrastructure Engineering

Bare-Metal Provisioning

Cluster Scheduling

Controllers And Operators

Infrastructure Automation

CI/CD

Cloud-Native Technologies

Networking

Storage

Observability

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 reusable self-service platform capabilities, automation, and CI/CD 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, a relevant bachelor's degree or equivalent experience, and strong programming skills in Go or Python. Candidates should have hands-on experience operating Kubernetes or a comparable platform, building automation for distributed infrastructure, and onboarding teams through repeatable self-service processes.

Key Skills:

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

Benefits:

Equity, Benefits