Virtualization & Orchestration Engineer – Member of Technical Staff

Designworks Talent LLC

. Design and build virtualization infrastructure supporting GPU-intensive AI and HPC workloads .

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

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and operating large-scale virtualization infrastructure for GPU-intensive AI and HPC workloads, with a strong focus on Kubernetes orchestration, resource management, and automation practices.

Highest-signal resume keywords

Kubernetes OrchestrationGPU Cluster ProvisioningInfrastructure AutomationHigh-Performance ComputingVirtualization Technologies

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

KubernetesGPU Scheduling TechnologiesInfrastructure as CodeLinux-Based InfrastructureDistributed SystemsResource ManagementWorkload SchedulingMulti-Tenant InfrastructureCloud ComputingAI Infrastructure

Soft Skills

Problem SolvingAdaptabilityCollaboration

Tools & Technologies

SlurmNVIDIA GPU OperatorContainer OrchestrationAutomation ToolsNetworking Technologies

Industry Keywords

GPU InfrastructureHPC EnvironmentsCloud ProvidersPlatform EngineeringArchitectural Decisions

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetesLinux

About the role

Key responsibilities & impact

Design and build virtualization infrastructure supporting GPU-intensive AI and HPC workloads
Develop and operate Kubernetes-based orchestration systems for GPU cluster provisioning and workload scheduling
Build automated provisioning systems to allocate, scale, and reclaim GPU capacity efficiently across multiple tenants
Design solutions for workload placement, resource management, and cluster lifecycle operations
Partner with hardware, networking, infrastructure, and AI platform teams
Improve orchestration platform reliability, security, scalability, and operational maturity
Build tooling and automation to simplify infrastructure management and improve developer and customer experiences
Contribute to architectural decisions, engineering standards, and best practices
Build the platform layer enabling customers to reliably consume GPU compute at scale
Own critical infrastructure systems end-to-end across virtualization, Kubernetes, distributed systems, GPU infrastructure, and high-performance computing

Requirements

What you’ll need

Strong hands-on experience with Kubernetes and container orchestration in production environments
Experience designing, building, and operating large-scale infrastructure platforms
Background with virtualization technologies supporting cloud, HPC, GPU, or distributed computing environments
Understanding of GPU cluster provisioning, workload scheduling, and resource management
Experience with Linux-based infrastructure and distributed systems concepts
Ability to independently own complex systems from design through production operation
Comfortable working in a fast-moving environment where architecture and processes are being established
Experience with GPU scheduling technologies such as Slurm, Kubernetes device plugins, NVIDIA GPU Operator, or similar frameworks
Experience supporting AI infrastructure, machine learning platforms, HPC environments, or GPU cloud providers
Background building multi-tenant infrastructure platforms for cloud providers or large-scale compute environments
Experience with infrastructure automation, Infrastructure as Code, and platform engineering practices
Familiarity with high-performance networking and GPU cluster architectures
U.S. work authorization is required
Willingness to work in a hybrid arrangement with approximately three days per week in the office
Willingness to relocate for candidates elsewhere in the U.S.

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