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Manufacturing Test Engineer, AWS Manufacturing and Repair

Job in Florence, Boone County, Kentucky, 41022, USA
Listing for: Amazon
Full Time position
Listed on 2026-06-26
Job specializations:
  • Quality Assurance - QA/QC
    Test Engineer
Job Description & How to Apply Below

Manufacturing Test Engineer, AWS Manufacturing and Repair

Stellen-:  | Amazon Data Services, Inc.

AWS Manufacturing & Repair operations is focused on automated assembly solutions where innovative solutions are needed to accelerate overall manufacturing time for AI/ML platforms. We work backwards from customers to increase critical capacity for AWS services by improving yield and reliability while reducing cycle time. This new highly cross‑functional initiative brings together critical expertise from a wide range of Amazon teams dedicated to meeting and exceeding customer expectations through innovative validation processes and Amazon operational excellence.

We are seeking a Manufacturing Test Engineer to work with internal partner Hardware Engineering and NPI Test teams to translate testing methodology and scripts into our operational manufacturing environment. This is a rare opportunity to shape manufacturing test strategy from the ground up, directly impacting the speed and quality at which AI infrastructure reaches customers. You’ll own the end‑to‑end manufacturing test ecosystem — from early prototype builds through high‑volume production and sustaining — across server (L10) and rack‑level (L11/L12) integration.

The position supports physical manufacturing environments across multiple locations with travel expected 25% of the time.

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