Staff Engineer - AI and Compute Server Design

Core Responsibilities

• Lead board- and system-level hardware design.
• Own schematic design, layout direction, component selection, and board bring-up for GPU head nodes and compute servers, including power delivery, high-speed signaling, and management subsystems.
• Translate requirements into architecture. Partner directly with Hyperscalers to convert system-level and hardware requirements into executable engineering specifications and platform architectures.
• Drive full product lifecycle execution. Lead designs through EVT, DVT, and PVT phases, including signal-integrity/power-integrity analysis, design reviews, and risk assessment, ensuring performance, reliability, and manufacturability.
• Support manufacturing ramp and deployment. Collaborate with Operations, MFG, and Quality teams to scale from prototype to high-volume production, and support datacenter deployment with rapid issue triage and corrective action.
• Provide technical leadership. Mentor engineers, establish best-practice workflows for schematic reviews, documentation, and validation, and lead complex root-cause debug across hardware, firmware, and system-integration domains.

Required Qualifications & Skills

• Education: Bachelor's or Master's in Electrical Engineering, Computer Engineering, or a related field.
• Experience: 10+ years of hardware design experience, including board- and system-level engineering, with proven ownership of high-performance server or GPU/accelerator designs from concept through production. Direct experience with Hyperscalers or large cloud providers strongly preferred.
• Technical expertise: Deep understanding of high-speed interfaces (PCIe Gen5/6, CXL, NVLink, Ethernet), power delivery networks, SI/PDN design, thermal considerations, and complex multi-board systems; demonstrated success leading EVT/DVT/PVT validation and manufacturing ramp.
• Systems thinking: Ability to architect and debug complex interactions across CPUs, GPUs, accelerators, system fabrics, firmware, and rack-level ecosystems.
• Communication: Expert at working across multi-functional teams, influencing without authority, and representing engineering decisions to technical leaders and executives.

Pay

$186,000 to $245,000 D.O.E.