Software Engineer- Data Platforms and Factory AnalyticsAmphenol Corporation • United States
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Software Engineer- Data Platforms and Factory Analytics
Amphenol Corporation
- United States
- United States
About
Location: Valley Green, PA; Nashua, NH; Raleigh, NC; Austin, TX
Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. Our global headquarters are located in Nashua, NH and we have design, sales and manufacturing locations globally. We are expanding our team software team. We are currently seeking a Software Engineer for Cable Backplane Systems to join our team.
Our team develops cable backplane system enabling AI Datacenters. The focus of this position is on software development to build and scale data platforms that connect factory test data, manufacturing systems and engineering analysis workflows. This role combines software engineering, data engineering and applied analytics, with opportunities to incorporate AI/ML techniques to improve factory efficiency, product quality and engineering insight and development.
Responsibilities:
Data & Platform Engineering
Design, implement and maintain scalable databases and pipelines for factory and engineering data
Integrate data from MES, Lab equipment and Engineering Designs
Ensure data integrity and traceability and performance across high volumes
Define schemas, and data models that can support analytics, reporting and provide actionable feedback
Factory & Engineering Integration
Work with factory, test and engineering teams to understand data being generated and usage requirements
Build APIs and services enabling reliable data transfer
Support automation of test result collection, analysis and reporting
Analytics & AI Enablement
Develop infrastructure to support advanced analytics and AI/ML workflows
Explore use of AI for yield analysis and predictive insights
Collaborate with domain experts to
Develop data-driven tools that improve decision-making in factory and engineering environments
Qualifications:
BS in Computer Science or Computer Engineering
5+ years of industry experience with software tools development
Experience in largescale database design and data pipelines
Experience in data analytics, statistics, or machine learning workflows
Familiarity with visualization, dashboards or reporting tools
Work experience in multi-disciplinary engineering teams
Comfortable working in a team that shares code and with peer reviews of code
Hands-on experience with source code control systems, including a habit to make regular check-ins
Excellent interpersonal communication skills, strong English reading and writing ability
Self-starter, able to work efficiently without having all details or requirements laid out on the table
Dynamic and adaptable personality, able to think out of the box
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Languages
- English
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