Position Summary:
We are seeking a motivated and detail-oriented Automation Software Engineer to join Illumina Singapore’s Automation Solution Center (ASC). This role supports our mission to accelerate the future of manufacturing by enabling high-volume, high-precision operations through cutting-edge automation technologies.
As part of the Automation Engineering team, you will work closely with senior engineers to design, develop, and validate software for automated systems deployed in new product introductions and process improvement initiatives. This includes contributing to the development of software standards, participating in equipment integration, and supporting qualification and buy-off activities.
You will collaborate with cross-functional teams including NPI, Manufacturing, Quality, and global counterparts from HQ to deliver scalable and robust automation solutions that align with Illumina’s goals for digital transformation.
This role offers an exciting opportunity to gain hands-on experience with Manufacturing Execution Systems (MES), electromechanical control systems, Programmable Logic Controllers (PLC), Supervisory Control and Data Acquisition (SCADA) systems, cloud-connected architectures, and AI-driven automation strategies in a regulated, high-throughput environment. You will also support global automation initiatives through the ASC, helping to standardize and scale solutions across Illumina's global manufacturing sites.
Position Responsibilities:
Work closely with cross-functional stakeholders and external vendors to gather, refine, and align software requirements using Agile methodologies (e.g., Scrum).
Contribute to sprint planning, backlog grooming, and daily stand-ups within an Agile/Scrum team, using tools such as Azure DevOps to manage user stories, tasks, and issues.
Support the timely delivery of software components and automation solutions by following CI/CD pipelines, maintaining version control (e.g., Git), and applying modular design practices in alignment with enterprise software standards.
Collaborate with project teams and domain experts to ensure that the developed software meets functional and regulatory requirements.
Participate in the verification and validation of equipment software by conducting thorough requirement traceability checks and performing hands-on testing.
Support commissioning activities including Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT) for equipment buy-off.
Assist in equipment qualification activities such as Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ), ensuring readiness for production release.
Apply knowledge of PLC programming (IEC 61131-3 standards), SCADA systems, and microservices-based architectures to enhance automation system performance, scalability, and maintainability.
Explore and support integration of cloud-native technologies (e.g., SaaS-based data platforms, Azure/AWS) and AI-driven pipelines to enable intelligent automation and capabilities across manufacturing operations.
All listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodation for additional tasks and responsibilities.
Preferred Educational Background:
Bachelor’s Degree or higher in Computer Science, Computer Engineering, or a related field with strong emphasis on software development.
Preferred Experience/Skills:
Proficient in C#/.NET and Python with exposure to microservices architecture and RESTful APIs.
Familiar with SQL, data integrity principles, and basic CI/CD workflows (e.g., Azure DevOps).
Understanding of SDLC, Agile/Scrum, and software testing/verification practices.
Exposure to PLC programming (Beckhoff and/or Siemens S7), experience in SCADA/HMI programming, with COPA-DATA's Zenon development, design and troubleshooting will be advantageous.
Experience in manufacturing environments and knowledge of MES, QMS, or life sciences regulations is a plus.
Strong problem-solving, communication, and team collaboration skills with a proactive learning attitude.
Note: The level of the role offered will be determined after the interview process.
We 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 [email protected]. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.