Research Scientist

Overview

Our client is a high-growth regional SaaS platform, seeking an experienced QA Lead (Automation & Manual) to direct its software quality strategy and testing ecosystem.  In this role, you will partner closely with engineering leaders to establish testing standards and maintain high product excellence across fast-moving feature release cycles. This position is ideal for a hands-on QA leader who excels at bridging technical quality execution with business-critical outcomes.

What You Will Do Design, develop, and deploy industrial AI algorithms to optimize manufacturing processes, shop floor operations, and equipment performance .

Collaborate closely with cross-functional hardware and technical solutions teams to integrate AI models with sensors, processors, and physical devices .

Conduct hands-on testing, validation, and prototyping for enterprise solutions .

Work directly on hard technical problems to improve operational efficiency for large-scale enterprise deployments .

Train and mentor deployment engineers (including regional team members) on implementation best practices .

What You Will Need PhD or Master’s degree in Computer Science, Mechanical Engineering, Automation, or a related technical discipline .

Hands-on experience developing and deploying AI/ML models or advanced algorithms for hardware systems and sensor data .

Background in industrial controls, embedded processors, PLCs, or manufacturing automation is preferred .

Practical problem-solving mindset with a passion for bridging software and physical hardware applications .

Good command of English and Chinese (Cantonese or Mandarin) to collaborate effectively with regional teams and clients .