Senior Manufacturing Test Engineer, AI Server Hardware

Amazon Web Services (AWS); Cincinnati (OH); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Parental leave

Job summary

Amazon Data Services, Inc. in Cincinnati, OH, seeks a Manufacturing Test Engineer to own the end-to-end test ecosystem for enterprise-class server hardware, including boards, racks, and networking.

You’ll partner with hardware, firmware, and operations to raise throughput, yield, and uptime across multiple locations. You will design and implement test software, fixtures, and data pipelines, enabling scalable quality you can trust at AWS scale.

Qualifications

• 2+ years of non-internship professional software development experience.
• Bachelor's degree in computer science or equivalent.
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby.
• 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience.
• Knowledge of systems engineering fundamentals (networking, storage, operating systems), experience in networking, storage systems, operating systems and hands-on systems engineering experience.

Responsibilities

• Own and Support the Test Ecosystem: Architect, develop, and maintain the manufacturing test infrastructure for AI server hardware products, spanning board-level validation through full rack integration and networking.
• Build and Scale Test Software: Design and maintain production test software and automation frameworks using Python, Bash, and related tooling, including test sequencing, equipment control, data collection, and reporting pipelines.
• Drive Automation & Self-Remedy: Develop automated test processes and self-healing capabilities that reduce manual intervention, increase throughput, and improve first-pass yield across the production line.
• Define Test Strategy: Establish modular test strategies, define pass/fail limits, and implement statistical process controls (GR&R, Cp/Cpk, correlation analysis) to ensure product quality at scale.
• Analyze Production Data: Compile and analyze test data using both automated reporting systems and exploratory analysis techniques to identify trends, root-cause failures, and drive corrective actions
• Own Uptime & Yield: Monitor functional test yield across shifts, lead triage efforts for test-station failures, and drive weekly production quality reviews with cross-functional partners.
• Collaborate Across Teams: Work closely with hardware design, firmware, process engineering, quality, and operations teams to ensure test requirements are aligned and products are designed for efficient, high-quality manufacturing.
• Guide Fixture & Infrastructure Design: Partner on test fixture design and procurement, ensuring alignment to cost, scalability, and schedule requirements; engage in RFQ processes for optimal end-to-end test solutions.
• Support New Product Introduction (NPI): Support partner teams in the development of test solutions for new product builds, from concept prototypes through production ramp, ensuring readiness at each phase gate.
• Sustain & Improve: Provide ongoing support for deployed test systems, implement configuration changes for new product variants, and maintain comprehensive documentation of test procedures, specifications, and infrastructure.
• Provide Feedback Upstream: Deliver actionable design-for-test (DFT) feedback to hardware and firmware development teams to improve testability and manufacturing efficiency for future platforms.

Skills

C++

C#

Java

Python

Golang

PowerShell

Ruby

Education

Bachelor's degree in Computer Science or equivalent

Tools

PowerShell

Job description

Amazon Data Services, Inc. in Cincinnati, OH, seeks a Manufacturing Test Engineer to own the end-to-end test ecosystem for enterprise-class server hardware, including boards, racks, and networking.

You’ll partner with hardware, firmware, and operations to raise throughput, yield, and uptime across multiple locations. You will design and implement test software, fixtures, and data pipelines, enabling scalable quality you can trust at AWS scale.