HPC/GPU Infrastructure Software Engineer – Member of Technical Staff

Designworks Talent LLC

. Design, develop, configure, and automate AI infrastructure clusters .

Posted 11/10/2026full-timeBellevue • Washington • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and automating large-scale AI infrastructure, with a strong focus on Kubernetes, infrastructure-as-code, and performance optimization for mission-critical systems. Proficient in managing complex hardware and software environments to ensure operational excellence and reliability.

Highest-signal resume keywords

Kubernetes DeploymentInfrastructure-As-CodeAutomation ToolsLinux-Based InfrastructureGPU Cluster Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure-As-CodeAutomationKubernetesContainerizationDistributed SystemsLinuxPerformance OptimizationTroubleshootingBare-Metal ProvisioningHardware Lifecycle Management

Tools & Technologies

TerraformAnsibleMAASIronicXCATIPMIRedfishPXE Boot

Industry Keywords

AI InfrastructureCloud InfrastructureDatacenter-Scale InfrastructureOperational ExcellenceMission-Critical Systems

Tech Stack

Tools & technologies

AnsibleCloudDistributed SystemsKubernetesLinuxTerraform

About the role

Key responsibilities & impact

Design, develop, configure, and automate AI infrastructure clusters
Develop infrastructure-as-code, automation, and provisioning systems for compute, networking, and storage
Deploy and optimize Kubernetes, container, and distributed computing platforms
Optimize GPU, networking, storage, and system performance for large-scale AI workloads
Troubleshoot complex issues across hardware, operating systems, networking, storage, and software stacks
Build reliability, observability, and operational excellence practices for mission-critical infrastructure
Support the platform from server and rack installation through software deployment, networking, configuration, cluster bring-up, and automation
Ensure the platform is fully operational and ready for customer workloads

Requirements

What you’ll need

5+ years of experience designing, building, or operating large-scale Linux-based infrastructure
Hands-on experience with Kubernetes, containerization, and distributed systems in production environments
Experience with infrastructure-as-code and automation tools such as Terraform, Ansible, or similar frameworks
Strong experience operating cloud or datacenter-scale infrastructure
Experience with bare-metal provisioning and hardware lifecycle management platforms such as MAAS, Ironic, xCAT, or similar (preferred)
Experience with IPMI, Redfish, PXE boot, and automated operating system deployment at scale (preferred)
Experience managing GPU clusters in datacenter or cloud environments (preferred)
U.S. work authorization is required

Benefits

Comp & perks

Certain roles are eligible for merit increases, annual bonus, and long term incentives based on individual performance
Medical, dental, and vision insurance for U.S.-based employees
401(k) plan and company match
Paid holidays per calendar year
Hybrid work arrangement
Ground-floor opportunity to shape architecture, tooling, and culture
Work on cutting-edge AI infrastructure at real scale