Sr Cloud Hardware Dev Engineer, AWS Generative AI & ML Servers

DescriptionAWS operates the world's largest fleet of GPU-accelerated servers powering AI/ML training and inference at cloud scale. Our team defines the server architectures, drives the hardware designs, and owns the fleet quality for these platforms — from component selection through datacenter operations. If you want to shape the physical hardware that frontier models train on, this is the role.We are seeking a Cloud Hardware Development Engineer to define server architectures based on workload demand, translate them into detailed component specifications, and drive validation from PCBA bring-up through rack integration. You will lead ODM design partners through development and production, triage hardware issues across manufacturing and datacenters, and own fleet quality metrics post-launch.What You Will DoYou will define the hardware that runs the world's largest AI training workloads. Your designs span thermal, mechanical, power, and signal integrity across GPU-accelerated platforms. You will drive validation from first silicon through fleet-scale deployment, triage failures correlating across PCIe, power delivery, memory, and accelerator interconnects, and feed root cause findings back into design improvements. When a new server platform launches at a large scale, the architecture, component choices, and quality gates are yours.Key job responsibilitiesArchitecture & Design Define server architectures based on workload demand and customer requirements, translating them into detailed designs and component specifications that enable high-performance AI training and inference at scale Work with interdisciplinary teams of component, firmware, test, qualification, and integration engineers to deliver cohesive designs Drive design reviews with ODM/JDM partners covering schematic, layout, BOM, and manufacturing DFx (Design for Test, Design for Manufacturing)Validation & Bring-up Define and execute validation strategies from PCBA bring-up through server and rack integration — covering power sequencing, signal integrity, thermal characterization, and accelerator interconnect performance Own hardware debug during EVT/DVT/PVT builds, correlating failures across PCIe, power rails, memory channels, and GPU subsystems Triage hardware issues at both ODM facilities and datacenters, conduct root cause analysis, and implement corrective actionsFleet Quality & Continuous Improvement Own fleet quality metrics post-launch: server-level annualized failure rates and component-level failure modes Monitor operational telemetry to identify systemic issues and drive design or process changes for current and future platforms Partner with test and automation teams to improve manufacturing yield and reduce test dwell timesCross-Team Collaboration Work with EC2 architecture teams to align on instance definitions, workload requirements, and platform trade-offs Drive ODM/JDM design partners through development milestones and production ramp Collaborate with firmware, software, and operations teams to ensure designs are debuggable, serviceable, and automation-readyMay require occasional (