Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

Senior Software Engineer – EDA Infrastructure

NVIDIA

. Own the lifecycle of Kubernetes clusters, including control plane, node lifecycle, and fleet-wide upgrades .

Posted 11/10/2026full-timeRemote • United StatesSenior💰 $152,000 - $287,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing Kubernetes clusters and infrastructure automation, with a strong foundation in programming languages such as Go and Python. Proven ability to onboard teams and build self-service capabilities for large-scale production systems.

Highest-signal resume keywords
Kubernetes Cluster ManagementInfrastructure AutomationProgramming in Go or PythonCI/CD Pipeline OwnershipOnboarding and Documentation

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
KubernetesGoPythonInfrastructure AutomationDistributed InfrastructureData StructuresAlgorithmsTestingSoftware DesignOperational Recovery
Soft Skills
Strong Communication SkillsCross-Team Collaboration
Tools & Technologies
Cluster APIMetal3CephCiliumCert-ManagerExternal-DNSArgo CDKyverno
Industry Keywords
EDA ApplicationsHigh-Throughput Batch WorkloadsSemiconductor Design WorkflowsSelf-Healing Remediation Systems

Tech Stack

Tools & technologies
CloudDNSKubernetesNode.jsPythonGo

About the role

Key responsibilities & impact
  • Own the lifecycle of Kubernetes clusters, including control plane, node lifecycle, and fleet-wide upgrades
  • Own bare-metal provisioning, storage, and networking
  • Build self-service capabilities for compute, secrets, certificates, DNS, access, and deployment
  • Extend Kubernetes with controllers and operators
  • Own CI/CD pipelines and shared platform services such as policy, autoscaling, and observability
  • Onboard new teams and sites onto the platform through repeatable processes
  • Define site and team onboarding requirements and build self-service tooling and documentation
  • Work with EDA, infrastructure, networking, storage, and hardware engineering teams on scalable chip-design workloads
  • Participate in on-call duties, incident response, root-cause analysis, and capacity planning
  • Build and operate governed infrastructure for NVIDIA's EDA and hardware engineering organization
  • Provide a self-service path from source code to production in cloud and physical-site environments

Requirements

What you’ll need
  • 5+ years of software engineering or infrastructure engineering experience supporting large-scale production systems
  • BS in Computer Science, Engineering, Physics, Mathematics, or a related field, or equivalent experience
  • Strong programming experience in Go or Python
  • Understanding of data structures, algorithms, testing, and software design
  • Personally built services that can be explained in depth
  • Production experience operating Kubernetes or a comparable large-scale platform
  • Hands-on ownership of specific clusters and components
  • Experience building automation for distributed infrastructure, including reconciliation loops, controllers, operators, or self-healing remediation systems
  • Understanding of performance, security, reliability, fault tolerance, state management, and data consistency in complex systems
  • Experience with infrastructure automation, deployment, and operational recovery
  • Track record of onboarding or migrating teams onto new infrastructure using self-service tooling, readiness checks, and documentation
  • Strong communication skills and ability to work across teams, organizations, and geographic regions
  • Contributions to open-source infrastructure projects are a plus
  • Experience running Kubernetes on bare metal with Cluster API, Metal3, Ceph, or Cilium is a plus
  • Exposure to EDA applications, license-management systems, high-throughput batch workloads, or semiconductor design workflows is a plus
  • Experience writing operators or using cloud-native tools such as cert-manager, external-dns, Argo CD, or Kyverno is a plus
  • Experience operating infrastructure across multiple data centers or heterogeneous hardware environments, on-premises and in the cloud is a plus

Benefits

Comp & perks
  • Equity
  • Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score