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Opedia Technologies

Hardware – Machine Design Engineer

Opedia Technologies

Principal Hardware Engineer leading GPU server design for an AI infrastructure company. Influencing hardware standards and collaborating with major GPU vendors and ODMs.

Posted 7/21/2026full-timeBellevue • Washington • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and configuring GPU servers and rack-scale infrastructure, with a strong focus on vendor reference architectures from NVIDIA and AMD. Capable of leading hardware validation and establishing engineering standards for large-scale deployments in AI and data center environments.

Highest-signal resume keywords
GPU Server ArchitectureNVIDIA EcosystemAMD EcosystemRack-Level Infrastructure DesignCollaboration with ODMs and OEMs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
GPU-Based Server DesignRack Infrastructure DesignPower DistributionThermal DesignCable ManagementHardware ValidationProduction ReadinessArchitectural Trade-Off EvaluationLarge-Scale Compute PlatformsAI Workload Optimization
Soft Skills
Senior Technical LeadershipCollaborationProblem-Solving
Industry Keywords
Hyperscale CloudAI InfrastructureHPCData Center EnvironmentsMechanical Integration

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 closely 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 to determine their suitability for next-generation AI workloads.
  • Collaborate with data center engineering, networking, infrastructure, and operations teams to ensure seamless integration across facilities and production environments.
  • Balance performance, reliability, manufacturability, scalability, and total cost of ownership when designing infrastructure solutions.
  • Support hardware validation, qualification, and production readiness for large-scale deployments.
  • Help establish engineering standards, hardware specifications, and design best practices as the infrastructure organization grows.

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.

Benefits

Comp & perks
  • Competitive base pay for Bellevue market
  • Certain roles are eligible for additional rewards, including merit increases, annual bonus, and stock. These awards are allocated based on individual performance
  • U.S. based employees have access to medical, dental, and vision insurance
  • 401(k) plan and company match
  • Employees receive per calendar year, paid holidays