Senior Software Engineer, Platform Engineering - EDA Infrastructure

NVIDIA Corporation; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Austin, TX is seeking an experienced infrastructure engineer to own the lifecycle of Kubernetes clusters and the supporting bare-metal provisioning, storage, and networking.

You will onboard teams, automate infrastructure, and collaborate with EDA and infrastructure groups on critical workloads, while contributing to on-call incident response, root-cause analysis, and capacity planning. Proficiency in Go or Python is required.

Qualifications

• Requires at least five years of software or infrastructure engineering experience in production systems.
• Bachelor's degree in a relevant field or equivalent experience.
• Strong Go or Python skills with hands-on experience operating Kubernetes.
• Experience automating distributed infrastructure and enabling repeatable onboarding and reliable operations.

Responsibilities

• Own the lifecycle of Kubernetes clusters and underlying bare-metal provisioning, storage, and networking.
• Onboard teams and sites and collaborate with infrastructure groups on chip-design workloads.
• Participate in on-call incident response, root-cause analysis, and capacity planning.

Skills

Go

Python

Kubernetes

Distributed Systems

Infrastructure Engineering

Bare-Metal Provisioning

Cluster Scheduling

Infrastructure Automation

Controllers And Operators

CI/CD

Cloud-Native Platforms

Networking

Storage

Observability

Incident Response

Open-Source Software

Education

Bachelor's degree or equivalent

Job description

Own the lifecycle of Kubernetes clusters and the underlying bare-metal provisioning, storage, and networking, while building reusable self-service platform capabilities and shared services. Onboard teams and sites, collaborate with EDA and infrastructure groups on critical chip-design workloads, and participate in on-call incident response, root-cause analysis, 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 repeatable team onboarding and reliable operations.

Key Skills: Go, Python, Kubernetes, Distributed Systems, Infrastructure Engineering, Bare-Metal Provisioning, Cluster Scheduling, Infrastructure Automation, Controllers And Operators, CI/CD, Cloud-Native Platforms, Networking, Storage, Observability, Incident Response, Open-Source Software

Benefits:

• Equity, Benefits