Staff Engineer, Process Engineering ( Dispensing & PnP Development )

Business summary

We are LSP – Light Sensors & Photonics, one of three business units within ams OSRAM, advancing the digitalization of light. At LSP, we go beyond traditional sensing—combining light, silicon, and system expertise to enable digital photonics solutions. Our focus is clear: powering next-generation applications in data centers, AR/VR, mobile and automotive, where light becomes a critical interface for data, perception, and interaction. This evolution marks a shift from components to integrated photonics systems —driving performance, scalability, and innovation in high-growth segments.

Your tasks

• Owner of process development during engineering build phase, including data collection, analysis & optimization, specific in dispensing and pick & place process
• Define equipment requirement and drive inline inspection and metrology strategy to ensure consistent product quality
• Implement mechanical and optical characterization of material during screening, validation and qualification phases
• Execute root cause analysis through statistical & problem-solving methodologies and implement learnings into Process Failure Mode & Analysis (PFMEA)
• Contribute in in projects via close collaboration with cross functional teams including overseeing build execution & documentation preparation
• Support New Product Introduction (NPI) phase through technology transfer to operation counterpart

Who we are looking for

• Degree in Engineering, preferably in Mechanical, Material or Chemical
• More than 3 years’ experience in dispensing and pick & place process R&D for high volume production; Prior experience with Datacon will be advantageous
• Statistical Process Control methodologies - SPC, 8D, DOE, six sigma using data analysis packages: JMP, Minitab, Python, Matlab;
• Proficiency in Solidworks and AutoCAD will be an advantage
• Excellent interpersonal skills, able to deliver impactful presentation to internal stakeholders and external customers and vendors

Contact

Who we are looking for

• Degree in Engineering, preferably in Mechanical, Material or Chemical
• More than 3 years’ experience in dispensing and pick & place process R&D for high volume production; Prior experience with Datacon will be advantageous
• Statistical Process Control methodologies - SPC, 8D, DOE, six sigma using data analysis packages: JMP, Minitab, Python, Matlab;
• Proficiency in Solidworks and AutoCAD will be an advantage
• Excellent interpersonal skills, able to deliver impactful presentation to internal stakeholders and external customers and vendors

Please contact Soi Kim Kee for further information via [email protected] or +65 () 62402395.