{"id":3321663,"url":"https://alion.io/job/illumina-manufacturing-systems-engineer-2","title":"Manufacturing Systems Engineer 2","company":{"id":4262,"name":"Illumina","domain":"illumina.com","url":"https://alion.io/company/illumina","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":16,"ghost_share":0,"stale_share":0.563,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":59000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":288},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C#","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MS SQL","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Machine Learning","optional":true},{"name":"Power BI","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-28T18:51:43Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"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.Position Summary:\nThe 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.\nThis 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\nPosition Responsibilities:\nDesign, develop, and support digital/AI manufacturing solutions that improve operational efficiency, data visibility, and decision-making across manufacturing operations.\nDesign and support system integrations between manufacturing and equipment enterprise systems, equipment data sources and enterprise data platforms.\nDevelop and optimize databases, data pipelines, APIs, and reporting solutions to ensure reliable and scalable manufacturing data flows.\nDesign and build AI agents capable of making business-context-awaredecisions, taking actions across enterprise systems and workflows, and operating autonomously within defined guardrails\nDesign, develop, test, and deploy AI-powered products, applications, and intelligent workflow solutions\nCollaborate with Manufacturing, Process Engineering, Equipment Engineering, Quality, OT, and IT teams to translate business requirements into digital solutions.\nSupport system testing, validation, deployment, troubleshooting, and lifecycle management of manufacturing applications and integrations.\nDrive continuous improvement initiatives through automation, analytics, and digital transformation projects.\nContribute to future manufacturing capabilities including operational intelligence, AI-assisted troubleshooting, predictive analytics, and smart manufacturing solutions.\nListed 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.\nPosition Requirements:\nBachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or related discipline.\n3-5 years of experience in software development, application development, systems engineering, system integration, data engineering, or related technical roles.\nStrong database design and development experience using Microsoft SQL Server, including query optimization, views, and stored procedures.\nProficiency in one or more programming languages such as Python, C#, Java, JavaScript, or equivalent object-oriented languages.\nExperience developing and supporting software applications, APIs, and system integrations.\nExperience using source control and version management tools such as GitHub.\nStrong analytical, troubleshooting, problem-solving, and communication skills.\nAbility to manage multiple tasks, collaborate across functions, and deliver high-quality solutions in a dynamic manufacturing environment.\nUnderstanding of Software Development Lifecycle (SDLC), testing methodologies, and deployment practices.\nExperience with building and deploying AI agents in enterprise environments\nDemonstrated success developing agents that interact with and coordinate activities across multiple business platforms and technology ecosystems.\nExperience implementing multi-agent architectures, agent orchestration frameworks, tool calling and workflow execution, Retrieval-Augmented Generation, knowledge retrieval, and reasoning systems.\nAll listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities\nPreferred Experience/Education/Skills:\nExperience with manufacturing systems, or industrial data platforms.\nExperience with Power BI, Databricks, Azure, cloud technologies, data pipelines, ETL/ELT processes, and analytics platforms.\nExperience implementing AI solutions within large, global enterprises\nExposure to operational technology, equipment connectivity, or industrial automation environments.\nKnowledge of vector databases, semantic search, enterprise knowledge management, and RAG solution patterns.\nExperience developing operational dashboards, reporting solutions, manufacturing applications, or workflow automation tools.\nKnowledge of AI, machine learning, predictive analytics, diagnostic solutions, knowledge management systems\nExperience working in regulated manufacturing, medical device, biotechnology, life sciences, semiconductor, or high-tech manufacturing environments.\nDemonstrated interest in digital transformation, manufacturing systems integration, data-driven operations, and smart manufacturing initiatives.\nWe are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact . To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. 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