Manager, Test and Technical Engineering, AWS Manufacturing and Repair

Description

AWS Manufacturing & Repair operations focuses on automated assembly solutions and innovative approaches 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 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 operational excellence.

We are seeking a Manager, Test and Technical Engineering to lead a global team of critical quality engineering teams across Manufacturing Test Engineers, System Engineers, Automation and Process Engineers. This leader will work in conjunction with internal partner Hardware Engineering and NPI Test teams to translate testing methodology and scripts into our operational manufacturing environment.

This role requires someone who doesn't just find problems but owns the fix, builds self‑remedy capabilities, and relentlessly drives uptime and automation across server (L10) and rack‑level (L11/L12) integration.

AWS Manufacturing & Repair is part of the broader AWS Infrastructure Services team which owns the design, planning, delivery, and operation of all AWS global infrastructure. You will collaborate across AWS to deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.

This role directly supports physical manufacturing environments across multiple locations with travel expected 25% of the time.

• Lead and develop a team of engineers to support the reliability of the products being manufactured, ensuring automation and build/test is critical to safety and quality.
• Own and support the test ecosystem, architecting, developing, and maintaining manufacturing test infrastructure for AI server hardware products, spanning board‑level validation through full rack integration and networking.
• Build and scale test software, designing and maintaining production test software and automation frameworks using Python, Bash, and related tooling.
• Drive automation and self‑remedy by developing 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, establishing modular test strategies, defining pass/fail limits, and implementing statistical process controls (GR&R, Cp/Cpk, correlation analysis).
• Analyze production data, compiling and analyzing test data to identify trends, root‑cause failures, and drive corrective actions.
• Own uptime & yield, monitoring functional test yield across shifts, leading triage efforts for test‑station failures, and driving weekly production quality reviews with cross‑functional partners.
• Collaborate across teams to ensure test requirements align with hardware design, firmware, process engineering, quality, and operations teams.
• Guide fixture & infrastructure design, partnering on test fixture design and procurement, engaging in RFQ processes for optimal end‑to‑end test solutions.
• Support new product introduction (NPI) by developing test solutions for new product builds from concept prototypes through production ramp.
• Sustain & improve deployed test systems, implementing configuration changes for new product variants, and maintaining comprehensive documentation of test procedures, specifications, and infrastructure.
• Provide feedback upstream, delivering actionable design‑for‑test feedback to hardware and firmware development teams.

• 5+ years of management experience.
• Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field.
• Knowledge of electrical and mechanical systems involved in critical data center operations (e.g., feeders, transformers, generators, switch gear, UPS systems, ATS units, PDU units, chillers, pumps, air‑handling units, CRAC units).
• Experience hiring, developing, and managing high‑performing technical teams.
• Experience in a manufacturing environment for data…