The Manufacturing & Datacenter Preparedness Lab Leader will establish a new function within the Trainium Manufacturing Quality & Reliability organization in Austin, Texas. This role focuses on bridging manufacturing outcomes with datacenter operational performance by leading a specialized preparedness lab. The leader will analyze datacenter performance of manufactured Trainium systems, identify root causes of field rework, and provide insights for manufacturing processes and design improvements. The position requires collaboration across various engineering teams to ensure high standards of safety and reliability.

• BS or MS degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, or related technical fields
• 8+ years industry experience in Manufacturing Engineering, Test Engineering, Quality Engineering, Reliability Engineering, or Datacenter Infrastructure Engineering
• 7+ years working directly with engineering teams in cross-functional environments
• Experience with AI/ML acceleration systems, high-performance computing servers, or complex multi-rack systems
• Strong problem-solving capabilities to isolate, define, and resolve complex problems spanning manufacturing quality and field reliability
• Experience with root cause analysis methodologies (8D, 5-Why, Fishbone, FMEA) and implementing corrective/preventive actions
• Proficiency in data analysis tools, statistical methods, and programming (Python, Bash, Shell script, Linux)
• Experience in Design for Manufacturing (DFM) and Design for Reliability (DFR)

• Own operational production performance of Trainium systems across the entire product lifecycle from manufacturing through datacenter deployment and fleet operations
• Design and build a preparedness lab replicating datacenter conditions for assembly, repair, and system testing
• Define and drive assembly and repair recipes in the manufacturing lab as the baseline prior to high volume manufacturing and datacenter deployment
• Ensure all manufacturing and datacenter test flows are regressed in the manufacturing lab prior to deployment
• Influence hardware design strategy for Design for Manufacturing, Design for Reliability, and Design for Test based on field failure analysis
• Establish data-driven analytics frameworks connecting manufacturing test data to datacenter performance, leveraging ML techniques to predict field failures
• Build and mentor a cross-functional team spanning manufacturing, test, quality, and reliability engineering
• Collaborate with AWS datacenter operations teams to understand failure modes, repair patterns, and operational challenges firsthand
• Drive continuous improvement reducing failure rates and lifecycle degradation through rapid feedback loops
• Develop or adapt manufacturing processes at the ODM and CM, including defining fixture requirements and critical assembly requirements

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.