Role:

You will own the manufacturing data architecture and MES integration strategy that connects automated production equipment to enterprise systems across all contract manufacturer sites. You design and deploy the data infrastructure layer that enables every automated station to generate, transmit, and store production data in a standardized format. You configure and integrate MES platforms with automation equipment (PLCs, robots, vision systems, sensors), define recipe management structures for multi-platform production, and establish industrial communication protocols (OPC-UA, MQTT, EtherNet/IP) as the standard data transport layer. You build production data pipelines that feed traceability systems, SPC monitoring, and process drift detection, providing the engineering team with real-time visibility into automation performance. You define data schemas and integration standards that ensure manufacturing data is consistent across all contract manufacturers, enabling the team to compare, benchmark, and optimize automation across sites. You also own the integration of manufacturing production data with SAP systems, ensuring automated assembly data (production orders, material consumption, yield, and traceability records) flows into the enterprise ERP layer for planning, costing, and compliance. The scope covers all server and rack assembly across all architectures and platforms, including compute, AI/ML accelerators, storage, and networking. The team designs intelligent, predictive-analytics-driven production systems where every station is sensor-driven, AI-optimized, and self-correcting, turning assembly lines into programmable, data-generating platforms that scale capacity without scaling headcount. This role requires the engineer to operate in a fast-paced, multi-platform international manufacturing environment with travel to contract manufacturer sites (up to 25-30% travel anticipated). Key job responsibilities

Own the MES integration architecture: defining how automation equipment (PLCs, robots, vision, sensors) connects to MES and enterprise data systems at all contract manufacturer sites
Design and deploy industrial data pipelines from production equipment to centralized data platforms using OPC-UA, MQTT, and EtherNet/IP protocols
Configure MES platforms for automated production lines: recipe management, work order routing, process parameter tracking, and production event logging
Define data schemas and standards that ensure manufacturing data consistency across all contract manufacturers and platforms
Build production traceability systems linking every automated operation (torque, inspection result, cycle time) to the individual assembled unit
Implement SPC monitoring and automated alerting for process drift detection across automated stations
Define and deploy industrial communication protocol standards for the automation ecosystem
Partner with Controls and Vision engineers to ensure all automation cells output data in the defined standard format
Integrate manufacturing production data with SAP (production orders, material consumption, quality results, yield reporting) to enable enterprise-level planning, costing, and traceability About the team About the team: The Manufacturing Automation Design & Engineering team is building a centralized automation Center of Excellence that owns the process specification and IP for how AWS hardware gets assembled.

The team is responsible for engineering, defining automated process requirements, designing and proving solutions at proof-of-concept, and maintaining AWS-owned intellectual property that scales globally. The team works within a collaborative framework across Hardware Engineering (product design for automation), Manufacturing Automation Design & Engineering (process specification and validation), and Manufacturing Operations (deployment and scaling), ensuring automation is engineered once, proven once, and deployed everywhere.

Basic Qualifications

Experience building data products incrementally and integrating and managing data sets from multiple sources
Bachelor's/Master's degree in Computer Science, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, or equivalent
7+ years in manufacturing data systems, MES integration, or industrial data engineering
Experience configuring and integrating MES platforms (e.g., Camstar, AVEVA, Rockwell Plex, SAP ME, or equivalent) with production equipment
Proficiency in industrial communication protocols (OPC-UA, MQTT, EtherNet/IP, PROFINET)
Experience building data pipelines from PLCs, robots, vision systems, and sensor networks into centralized data platforms
Experience defining data standards and schemas for multi-site manufacturing environments
Experience integrating manufacturing data with ERP/SAP systems (e.

g., SAP

PP, SAP QM, SAP

MES, or SAP Plant Connectivity)Preferred Qualifications

Experience with AWS data and IoT services (e.g., IoT Core, Greengrass, Kinesis, Glue, S3, Timestream)
MES recipe management and work order configuration experience for multi-platform production lines
Experience with time-series databases and streaming data architectures for manufacturing
Knowledge of statistical methods for manufacturing quality (e.g., SPC, Cpk, process capability analysis)
Electronics, server, or precision hardware manufacturing environment
Experience standardizing data systems across multiple contract manufacturer sites with different MES platforms
Experience with SCADA/historian systems (e.g., Ignition, OSIsoft PI, Wonderware)
Experience with SAP integration technologies (e.

g., SAP Plant Connectivity (PCo), SAP

MII, RFC/BAPI

interfaces, IDocs, or

SAP S/4HANA

Manufacturing) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:

Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Sunnyvale

177,800.00
240,500.

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