Lead Engineer for Manufacturing and Datacenter Lab, Trainium Manufacturing, Quality and Reliability

Within the Trainium Manufacturing Quality & Reliability (TRN MQR) organization, we are establishing a critical new function that bridges manufacturing outcomes with datacenter operational performance. Basic qualifications: - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience communicating with customers, technical, regulatory, business teams, and management to collect requirements, describe product features, and technical designs - Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions - BS or MS degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, or related technical fields - 8+ years industry experience in one or more of the following: 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 - Demonstrated track record delivering stable, performant hardware solutions meeting cost and quality targets - Experience with System Mechanical & Thermal design for air-cooled and liquid-cooled 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 working with ODMs, JDMs, component vendors, and internal design teams on cross-boundary triaging, debugging, and resolving issues - Experience in Design for Manufacturing (DFM), also known as Design for Manufacturability, a product design approach that focuses on optimizing the ease and cost of manufacturing a product - Can be given complex hardware engineering problem to solve and design project strategy that splits work appropriately for parallel development Preferred: - Experience in management of datacenter operations, facility engineering operations, information technology critical environment facilities, advanced high volume manufacturing, datacenter build-outs and scaling, or similar fields - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Masters Degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, or related technical fields - Hands-on design experience with enterprise hardware design, sled level design, and rack level designs - Track record of implementing data-driven process improvements that measurably reduced field failure rates or improved manufacturing yield - Experience with liquid cooling systems, direct-to-chip cooling, coolant distribution units (CDUs), and thermal management for AI/ML workloads Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TX, Austin - 159,200.00 - 215,300.00 USD annually