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Principal Hardware Engineer, AI Systems

United States, Washington, Redmond💼 Full-time🗓 2026-07-16 → 2026-09-26

Core

End-to-end technical owner for next-generation AI and GPU platforms from architecture handoff through production deployment and fleet readiness.

Role type

Principal Hardware Engineer, AI Systems

Builds

Next-generation AI and GPU platforms, rack-scale infrastructure, and datacenter systems

Domain

Datacenter infrastructure, AI accelerators, GPU systems, high-performance computing

Deliverable

production ML models | product features | infrastructure

Required skills

System architecture, power delivery, thermal and liquid cooling, signal integrity, mechanical design, reliability engineering, PCIe, DDR, Ethernet, BIOS/BMC, Linux/Windows integration, system debug, root cause analysis, performance-per-watt analysis, performance-per-dollar analysis

Preferred skills

Experience with optical interconnects, advanced memory architectures, ODM collaboration, silicon supplier management

Technologies

PCIe, DDR, Ethernet, BIOS, BMC, Linux, Windows, GPU, SoC, AI accelerators

Responsibilities

Translate product requirements and architectural intent into executable system designs and engineering plans; Lead cross-functional technical decision making and resolve complex system-level tradeoffs; Own technical readiness for key program milestones, design reviews, and production releases; Drive alignment across electrical, mechanical, thermal, firmware, and supply chain teams; Evaluate and de-risk new technologies including AI accelerators and liquid cooling solutions; Communicate technical status, risks, and mitigation plans to engineering leadership and executive stakeholders

Seniority

Principal, hands-on IC with program leadership

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