Software Engineer (Chonburi) - New Graduate Are Welcome
Summary
Full-stack software engineer at Fabrinet's Chonburi factory building web/desktop apps for manufacturing execution systems: real-time production dashboards (OEE, yield), high-ingestion SQL/NoSQL databases, AI/ML models for predictive maintenance and visual inspection, and IoT integration with PLCs (MQTT, OPC-UA) using React/Node/Python/C#.
Job Description:
Design and build end-to-end web and desktop applications for manufacturing execution systems (MES). utilizing modern frontend frameworks (React, Angular, or Vue.js) and robust backend technologies (Node.js, Python, or C#/.NET).
Collaborate with engineering teams to visualize complex machine data. Develop interactive dashboards that display real-time metrics (OEE, Yield, Throughput) to enable immediate decision-making on the factory floor.
Architect and optimize high-performance databases (SQL and NoSQL) capable of handling high-frequency data ingestion from industrial equipment. Ensure data integrity for reporting and analytics.
Develop and deploy AI/Machine Learning models for predictive maintenance, anomaly detection, and automated visual inspection. Bridge the gap between data science and operational technology (OT).
Implement protocols (MQTT, OPC-UA, REST APIs) to interface software directly with industrial machines and PLCs, ensuring seamless data flow from the shop floor to the server.
Lead the software lifecycle from concept to deployment. Debug complex issues across the full stack and drive the adoption of DevOps practices (CI/CD) to streamline updates.
Qualifications
Education:
Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, or related field.
Experience:
3-6 years in full-stack development, with proven experience in industrial automation or AI implementations.
Required Technical Skills:
Languages: Proficient in Python (for AI/Backend), JavaScript/TypeScript, SQL, C#.
Full Stack: Experience with React.js/Next.js, Node.js, or ASP.NET Core.
Data & AI: Familiarity with TensorFlow, PyTorch, Scikit-learn, and SQL Server/PostgreSQL.
Industrial: Knowledge of IoT protocols (MQTT) or machine integration is a strong plus.
Soft Skills: Fluent in English; ability to translate technical concepts for non-technical stakeholders.
Human Resources Department, Fabrinet Company Limited
Hemaraj Eastern Seaboard Industrial Estate 2 (Hemaraj ESIE 2)
890/60 Moo 3, Khao Khan Song, Si Racha, Chonburi 20110, Thailand.
Tel. (662) 524-9600 ext. 6494
Website: www.fabrinet.com