Manufacturing Systems Engineer 2

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Summary: The Manufacturing Systems Engineer is responsible for designing, developing, integrating, and supporting digital manufacturing solutions across MES, equipment data systems, operational applications, analytics platforms, and AI-enabled manufacturing capabilities. This role partners with Manufacturing, Process Engineering, Equipment Engineering, Quality, and OT teams to build and sustain data-driven manufacturing workflows that improve operational efficiency, equipment reliability, troubleshooting effectiveness, and digital transformation initiatives Position Responsibilities: Design, develop, and support digital/AI manufacturing solutions that improve operational efficiency, data visibility, and decision-making across manufacturing operations. Design and support system integrations between manufacturing and equipment enterprise systems, equipment data sources and enterprise data platforms. Develop and optimize databases, data pipelines, APIs, and reporting solutions to ensure reliable and scalable manufacturing data flows. Design and build AI agents capable of making business-context-aware decisions, taking actions across enterprise systems and workflows, and operating autonomously within defined guardrails Design, develop, test, and deploy AI-powered products, applications, and intelligent workflow solutions Collaborate with Manufacturing, Process Engineering, Equipment Engineering, Quality, OT, and IT teams to translate business requirements into digital solutions. Support system testing, validation, deployment, troubleshooting, and lifecycle management of manufacturing applications and integrations. Drive continuous improvement initiatives through automation, analytics, and digital transformation projects. Contribute to future manufacturing capabilities including operational intelligence, AI-assisted troubleshooting, predictive analytics, and smart manufacturing solutions. Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Requirements: Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or related discipline. 3-5 years of experience in software development, application development, systems engineering, system integration, data engineering, or related technical roles. Strong database design and development experience using Microsoft SQL Server, including query optimization, views, and stored procedures. Proficiency in one or more programming languages such as Python, C#, Java, JavaScript, or equivalent object-oriented languages. Experience developing and supporting software applications, APIs, and system integrations. Experience using source control and version management tools such as GitHub. Strong analytical, troubleshooting, problem-solving, and communication skills. Ability to manage multiple tasks, collaborate across functions, and deliver high-quality solutions in a dynamic manufacturing environment. Understanding of Software Development Lifecycle (SDLC), testing methodologies, and deployment practices. Experience with building and deploying AI agents in enterprise environments Demonstrated success developing agents that