Sr. Manufacturing Hardware Engineer, AI​/ML Server Development

Description

Final date to receive applications:
Jul 22, 2026

Amazon Web Services (AWS) Hardware Engineering designs and delivers next-generation cloud infrastructure. Our team builds custom accelerator systems that power AI, machine learning, and compute workloads at global scale.

We are seeking a Sr. Manufacturing Hardware Engineer to join our GPU Accelerator Hardware team. In this role, you will own manufacturing stability and yield improvements, will engage from design phase through volume production and into fleet health. You will be hands‑on at the manufacturing line debugging complex system failures across hardware, firmware, and physical layers while driving manufacturing quality, test strategy, and process optimization.

You will serve as the primary engineering interface between hardware design teams, supply chain, and contract manufacturers (ODMs/CMs) — ensuring our products are optimized for manufacturability, launched with exceptional quality, and supported through production ramp.

Success in this role requires deep technical curiosity, willingness to personally solve the hardest problems at the line, structured problem‑solving, and strong cross‑functional communication.

• Own end‑to‑end NPI manufacturing execution for GPU accelerator platforms across EVT/DVT/PVT builds and pilot production

• Perform NUDD risk assessments and carry‑over analysis to identify and mitigate manufacturing risks before design freeze

• Develop First Build Readiness Plans encompassing BOM availability, assembly strategy, test code readiness, and build instructions

• Define Manufacturing Test Strategy including test flows, coverage, fixture requirements (ICT, BFT, system‑level), and buy‑off criteria

• Lead DFx reviews (DFM/DFA/DFT) leveraging mechanical CAD models, gerber files, and mock‑up samples; drive design improvements with hardware engineering teams

• Create manufacturing capacity plans with line balance and cycle time analysis to maximize throughput

• Lead DFMEA/PFMEA reviews; develop process flow diagrams and quality control plans

• Develop Technical Manufacturing Information (TMI) packages for CM enablement

• Debug complex system failures during manufacturing — diving deep across hardware, firmware, power, thermal, and signal integrity layers to drive root cause

• Perform root cause corrective action (RCCA) for manufacturing blockers, yield detractors, and quality escapes

• Correlate failure modes across firmware, kernel, driver, thermal, power, and physical layers

• Apply knowledge of server architecture (CPU, GPU, memory, NVMe, PCIe) to resolve integration and test failures at the manufacturing line

• Execute Test Rack Inspections and OK2
  
  Ship checklists; issue quality alerts, deviations, and ship‑holds as required

• Research automation techniques and develop new test systems to improve manufacturing efficiency and reduce manual intervention

• Drive toward predictive diagnostics using manufacturing telemetry, test data trending, and failure pattern analysis

• Identify systemic quality issues and drive design improvements in partnership with hardware engineering teams

• Provide on‑site ODM/CM support during critical builds and production ramp

• Collaborate with internal teams on GPU module integration, thermal validation, and manufacturing requirements

• Partner with design engineering, operations, firmware, test, and qualification teams to close the loop between manufacturing issues and design improvements

• Manage manufacturing requirements, schedules, and deliverables across engineering teams, suppliers, and partners

Your day‑to‑day responsibilities include interfacing with internal customers to understand product requirements and facilitate system development on top of your server designs. You will learn operational challenges facing our existing fleet with the goal of improving the current customer experience and developing improved systems for future designs. You will work directly with vendors and ODM (manufacture partners) to scale your product.

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