MFG Data-MES Integration Engr, Manufacturing Automation Design & Engineering

Amazon Web Services Hardware Engineering team is looking for experienced professionals to help build the worlds premier cloud computing platform. The Manufacturing Automation Design & Engineering team designs validates and deploys automation solutions including robotics cobots vision inspection AI-powered quality systems and automated assembly workflows across contract manufacturer sites worldwide.

About the 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.

- Experience building data products incrementally and integrating and managing data sets from multiple sources
- Bachelors/Masters 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)

- 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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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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 CA Sunnyvale - 177800.00 - 240500.00 USD annually