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QA Engineer - Manufacturing (Fixed Term)

ResMed

Singapore, SingaporeFull TimeMid
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Location
Singapore, Singapore
Employment
Full Time
Work model
On-Site
Level
Mid
Posted

About this role

Let's talk about Responsibilities • Support Manufacturing to achieve Quality, Availability and Value objectives by applying established Quality Engineering methods and contributing to reliable manufacturing quality performance. • Participate in and support new product, process, technology and manufacturing capability introduction, applying Quality by Design, risk-based quality planning and appropriate quality controls through XFT deliverables and phase transitions. • Support manufacturing readiness activities, including quality planning, risk assessments, validation activities, digital assurance/CSV/CSA deliverables where applicable, control strategy execution and launch/post-launch learning. • Apply established Manufacturing QA standards, methods, playbooks and tools to support consistency, standardisation and adoption of proven approaches across manufacturing teams. • Use quality and manufacturing data, including NCP/CAPA learning, validation outputs, audit findings and process performance signals, to identify trends, support investigations, recommend preventive actions and contribute learning to future Quality Engineering solutions. • Contribute to continuous improvement of manufacturing quality systems, processes and engineering practices, supporting improved Right First Time performance and reduction of repeat or systemic quality issues. • Provide quality / technical guidance through training, consultation and coaching, building capability in structured problem solving, risk management, process validation, digital assurance awareness and data-driven decision making. • Partner with Manufacturing Engineering, Operations and other functions to ensure Quality requirements are considered early in process, equipment, technology, automation, MES and digital manufacturing changes. • Participate in digital quality, automation, advanced manufacturing or transformation pilots where required, supporting development, testing and operational adoption of new quality capabilities and engaging specialist CSV/CSA expertise where applicable. • Foster a quality culture through education, consultation and day-to-day engagement with manufacturing and cross-functional partners. • Ensure risks of non-compliance and related business risks are identified, assessed and mitigated with support from senior team members where required. • Ensure compliance to the ResMed QMS and applicable regulatory standards. • Perform or support internal, external and supplier audits as required. Let's talk about Qualifications and Experience Required • Bachelor's degree in Engineering or Science with at least 3 years' experience in a regulated volume manufacturing industry. • Experience or exposure in Quality Systems, Manufacturing Quality, risk management, process validation and structured root cause/problem-solving methodologies. • Ability to apply established Quality Engineering methods to support manufacturing quality delivery, investigations, validation, digital assurance/CSV/CSA deliverables where applicable, quality planning and improvement activities. • Independent and proactive learner, able to work under guidance of senior team members while building capability in digital quality, automation, advanced manufacturing, digital assurance and Quality by Design. • Ability to use quality data and manufacturing information to identify trends, support decisions and recommend improvements. • Good planning and organisational skills, with the ability to take initiative and ownership of assigned deliverables. • Strong communication and collaboration skills, with the ability to build positive working relationships with manufacturing, engineering and quality partners. Preferred • Experience in Quality and/or Regulatory positions in the medical device industry. • Experience in Quality Systems, Manufacturing Quality, process validation and risk management methodologies. • Demonstrated capability in using AI tools or data-driven