AI-Powered Manufacturing Systems Engineer

re-zoo-me; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Illumina in Singapore is seeking a Manufacturing Systems Engineer to design, develop, and support digital manufacturing solutions spanning MES, equipment data sources, analytics, and AI-enabled capabilities.

You will partner with Manufacturing, Process Engineering, Equipment Engineering, Quality, OT, and IT to translate business requirements into scalable data-driven workflows, build robust integrations, and drive digital transformation across operations.

Qualifications

• Bachelor's degree in CS/Software/Engineering or related field.
• 3-5 years of software development, system integration, or data engineering.
• Strong SQL Server experience with queries, views, and stored procedures.
• Proficient in Python, C#, Java, JavaScript, or similar OO languages.
• Experience with APIs and enterprise integrations.
• Familiarity with GitHub or other source control tools.
• Analytical, communicative, and able to manage multiple tasks.
• Understanding of SDLC, testing, and deployment practices.

Responsibilities

• Design and implement digital/AI manufacturing solutions for data visibility.
• Build integrations between MES, equipment systems, and data platforms.
• Develop data pipelines, databases, APIs, and reporting.
• Create AI agents and autonomous workflows with guardrails.
• Collaborate across Manufacturing, Process Eng, Equipment Eng, IT.
• Support testing, validation, deployment, troubleshooting and lifecycle.
• Drive automation and analytics for continuous improvement.
• Contribute to future capabilities like predictive analytics and smart manufacturing.

Skills

SQL & data modeling

Python

API development

AI/machine learning concepts

Problem solving

Communication

Education

Bachelor's degree in Computer Science, Software Engineering, or related field

Tools

GitHub

SQL Server

Power BI

Databricks

Azure

Job description

Illumina in Singapore is seeking a Manufacturing Systems Engineer to design, develop, and support digital manufacturing solutions spanning MES, equipment data sources, analytics, and AI-enabled capabilities.

You will partner with Manufacturing, Process Engineering, Equipment Engineering, Quality, OT, and IT to translate business requirements into scalable data-driven workflows, build robust integrations, and drive digital transformation across operations.