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Rockwell Automation is seeking a seasoned Quality Engineer to lead product/software quality across NPI and ongoing improvements in Singapore. You will guide risk assessment, verification, and continuous improvement initiatives while partnering with global teams to ensure robust, repeatable quality across hardware and software components.
You will drive AQCP/DFSS-based processes, support ISO 9001, and implement AI-driven quality analytics to enhance defect detection and reliability.
Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!
Job Description
Participate in design reviews, design verification and validation, monitor results and guide risk ensuring Product/Software meets the established standards of quality including reliability, usability and performance required. Assure quality Products/Software and Processes by establishing and enforcing quality standards, testing, materials controls through trends analysis, risk identification, uses of tools and data. Passionate with Technical Hands-On activity (Hardware/Software/Manufacturing) and be responsible for ensuring product launch with best quality and processes in place in Manufacturing.
Establishes the quality strategy, gains support, prioritize and leads execution of the strategy. Prepare and present regularly on the project quality status. Act as a role model leading and driving continuous improvement and standardization of best practices in the organization to achieve best-in-class quality by moving quality to the left. Support the organization Quality Management System.
Apply Quality Engineering principles together with AI to enabled quality engineering across Design Development and Manufacturing, driving high-value use cases such as intelligent test optimization, anomaly detection, predictive quality, failure pattern recognition, and digital process automation. Leverage data, domain knowledge, and scalable analytics to improve decision velocity, strengthen risk prediction, and deliver measurable productivity savings aligned with APBC transformation priorities and ISC/QME goals.
You will report to Quality Manager based in Singapore.
Our benefits package includes ...
... and other local benefits!
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