Manufacturing Systems Engineer: AI-Driven Data & Apps

Illumina Singapore Pte Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Illumina Singapore Pte Ltd is seeking a Manufacturing Systems Engineer to design, develop, and support digital manufacturing solutions across MES, data systems, analytics platforms, and AI-enabled capabilities.

This role partners with Manufacturing, Process Engineering, Equipment Engineering, Quality, OT, and IT to build data-driven workflows, improve operational efficiency, and drive digital transformation initiatives in a regulated manufacturing environment.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 3–5 years of software, systems, or data engineering experience.
• Strong SQL Server design, queries, views, and stored procedures.
• Proficiency in Python, C#, Java, or equivalent OO languages.
• Experience with software APIs, system integrations, and SDLC.

Responsibilities

• Design, develop, and support digital/AI manufacturing solutions.
• Create integrations between MES, equipment data sources, and data platforms.
• Develop data pipelines, databases, APIs, and reporting solutions.
• Build AI agents and autonomous workflows within guardrails.
• Collaborate with multiple teams to translate requirements into digital solutions.
• Test, validate, deploy, and maintain manufacturing applications and integrations.
• Drive automation, analytics, and digital transformation initiatives.
• Contribute to future capabilities like predictive analytics and smart manufacturing.

Skills

Python

C#

SQL Server

Java

Data engineering

SDLC

APIs

GitHub

Power BI

Databricks

Azure

Education

Bachelor's Degree in Computer Science or related

Tools

GitHub

Databricks

Power BI

Azure

APIs

Job description

Illumina Singapore Pte Ltd is seeking a Manufacturing Systems Engineer to design, develop, and support digital manufacturing solutions across MES, data systems, analytics platforms, and AI-enabled capabilities.

This role partners with Manufacturing, Process Engineering, Equipment Engineering, Quality, OT, and IT to build data-driven workflows, improve operational efficiency, and drive digital transformation initiatives in a regulated manufacturing environment.