Manufacturing Engineer (Medical Devices)

Illumina; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Illumina is seeking a Product Engineer 2 in Singapore to support product lifecycle activities, including new product introduction, transfer, and ongoing manufacturing operations. You will help ensure product quality, yield, and compliance through engineering evaluation and continuous improvement initiatives.

The role involves cross-functional collaboration, process optimization, and occasional travel to other sites, with a focus on driving cost reductions and sustaining high-performance

Qualifications

• Bachelor's Degree and a minimum of 2 years of related experience.
• Experience in Lean Kaizen events and process improvement.
• Strong process engineering and data analysis skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Effective communication and presentation skills.
• Six Sigma Green Belt preferred.
• Experience in FDA/ISO13485 environment is a plus.
• Familiarity with SAP ERP is a plus.

Responsibilities

• Support and drive product transfer into manufacturing.
• Perform data trending and analysis.
• Apply FMEA, DOE, and statistical analysis to optimize product quality and reduce costs.
• Drive process improvements, cost reduction, and product sustaining activities.
• Manage Engineering Change Request and Notifications (CRs and CNs), including updates to work instructions and test requirements.
• Support documentation: engineering drawings, BOMs, test reports, assembly procedures, and validation plans.
• Participate in continuous improvement initiatives and operational excellence programs.
• Frequent cross-functional collaboration and occasional travel to other sites.
• Process Engineering Lead small-scale continuous improvement projects in manufacturing operations.
• Drive measurable improvements in quality, material control, throughput, flexibility, and cost.
• Apply Lean tools and methods in problem-solving and process optimization.
• Conduct cycle time studies, line balancing, and assist in design of experiments using statistical approaches.
• Develop data collection tools and support KPI tracking for improvement projects.
• Support manufacturing engineers in implementing supervisory-level control solutions.

Skills

Lean Kaizen

Data analysis

Process engineering

Statistical analysis

Independent & collaborative work

Communication skills

Education

Bachelor's Degree

Tools

SAP ERP

Job description

Internal Title

Product Engineer 2

Position Summary

Responsible for supporting product lifecycle activities, including new product introduction, product transfer, and ongoing manufacturing operations. This role ensures product quality, yield, and compliance through engineering evaluation, troubleshooting, and continuous improvement initiatives. Collaborates cross-functionally to drive process enhancements, cost optimization, and operational excellence, enabling smooth transition from design to production and sustaining high-performance standards throughout the product lifecycle.

Position Responsibilities

Common Responsibilities

• Support and drive product transfer into manufacturing.
• Perform data trending and analysis.
• Apply FMEA, DOE, and statistical analysis to optimize product quality and reduce costs.
• Drive process improvements, cost reduction, and product sustaining activities.
• Manage Engineering Change Request and Notifications (CRs and CNs), including updates to work instructions and test requirements.
• Support documentation: engineering drawings, BOMs, test reports, assembly procedures, and validation plans.
• Participate in continuous improvement initiatives and operational excellence programs.
• Frequent cross-functional collaboration and occasional travel to other sites.

Discipline-Specific Responsibilities

• Process Engineering Lead small-scale continuous improvement projects in manufacturing operations.
• Drive measurable improvements in quality, material control, throughput, flexibility, and cost.
• Apply Lean tools and methods in problem-solving and process optimization.
• Conduct cycle time studies, line balancing, and assist in design of experiments using statistical approaches.
• Develop data collection tools and support KPI tracking for improvement projects.
• Support manufacturing engineers in implementing supervisory-level control solutions.

Position Requirements

• Bachelor's Degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
• Experience in Lean Kaizen events and process improvement.
• Strong process engineering and data analysis skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Effective communication and presentation skills.
• Six Sigma Green Belt preferred.
• Experience in FDA/ISO13485 environment is a plus.
• Familiarity with SAP ERP is a plus.

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.

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 [e-mail]. 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.

The potential of genomics to change the world is unparalleled. At Illumina, we are leading the way. Our technology empowers researchers and clinicians globally to improve cancer treatments, change the course of diseases, protect the environment, and fight food insecurity. We are made up of dedicated professionals, all-in on creating a better world - and we need every skill set on our path to making genomics useful for all. Learn more about life at Illumina.