HPC/GPU Hardware, Machine Design Engineer – Member of Technical Staff

Designworks Talent LLC

. Lead the design and configuration of GPU servers and rack-scale infrastructure using vendor reference architectures from NVIDIA, AMD, and emerging AI hardware providers .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing GPU-based servers and rack infrastructure, with a strong understanding of architectural trade-offs in performance, scalability, and reliability. Capable of leading hardware validation and establishing engineering standards for large-scale AI and data center environments.

Highest-signal resume keywords

GPU Server ArchitectureRack-Level Infrastructure DesignCollaboration With ODMs And OEMsAI Infrastructure ExperienceHardware Validation And Qualification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GPU-Based Server DesignRack Infrastructure ConfigurationThermal ManagementMechanical Layout DesignPower DistributionCable ManagementPerformance EvaluationScalability AssessmentManufacturability AnalysisAI Workload Optimization

Soft Skills

Technical LeadershipCollaborationProblem-SolvingCommunication

Tools & Technologies

NVIDIA EcosystemAMD EcosystemLiquid Cooling TechnologiesHigh-Density Rack DeploymentsAdvanced Thermal Management

Industry Keywords

Hyperscale CloudAI InfrastructureHPCData Center EnvironmentsCustom Hardware Platforms

Tech Stack

Tools & technologies

AirflowCloud

About the role

Key responsibilities & impact

Lead the design and configuration of GPU servers and rack-scale infrastructure using vendor reference architectures from NVIDIA, AMD, and emerging AI hardware providers
Partner with ODMs and OEMs to develop, validate, and optimize custom hardware platforms for production deployment
Own rack-level architecture, including mechanical layout, power distribution, thermal design, cable management, serviceability, and deployment standards
Evaluate new GPU platforms, server technologies, and hardware innovations for next-generation AI workloads
Collaborate with data center engineering, networking, infrastructure, and operations teams across facilities and production environments
Balance performance, reliability, manufacturability, scalability, and total cost of ownership
Support hardware validation, qualification, and production readiness for large-scale deployments
Establish engineering standards, hardware specifications, and design best practices

Requirements

What you’ll need

Extensive experience designing GPU-based servers, rack infrastructure, or large-scale compute platforms
Deep knowledge of GPU server architecture and vendor reference designs, particularly NVIDIA and AMD ecosystems
Experience working directly with ODMs and OEM partners to design, customize, qualify, and manufacture production hardware
Strong understanding of rack-level infrastructure, including power, cooling, airflow, mechanical integration, cable management, and serviceability
Experience supporting hyperscale cloud, AI infrastructure, HPC, or large-scale data center environments
Ability to evaluate architectural trade-offs across performance, scalability, reliability, and cost
Comfortable operating as a senior technical leader within a fast-moving, high-growth engineering organization
U.S. work authorization is required
Preferred: experience designing AI training clusters or large-scale inference platforms
Preferred: experience with liquid cooling technologies, high-density rack deployments, or advanced thermal management
Preferred: familiarity with multiple GPU generations and evolving accelerator technologies
Preferred: background designing hardware platforms for cloud providers, hyperscalers, or AI infrastructure companies
Preferred: experience influencing long-term hardware architecture and infrastructure strategy

Benefits

Comp & perks

Certain roles are eligible for additional rewards, including merit increases, annual bonus, and long term incentives; awards are allocated 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