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STATSChipPac is seeking a passionate R&D Staff Engineer/Principal Engineer, with experience in Silicon Photonics advanced packaging, to realize next-generation optical interconnects for high-volume manufacturing. The candidate will join the Singapore R&D team and lead the packaging technologies development with universities and research institutes. The candidate will drive and bring Si photonics/chiplet packaging and co-package optics development, utilizing advanced packaging technologies, to scalable production. The development covers high efficient optical I/O module architecture, assembly, optical coupling design, materials and process for fiber packaging.
The candidate will report to the Vice President of R&D. The successful candidate will have demonstrated advanced packaging technologies expertise, program management, excellent communication skills, and ability to apply process-control and problem-solving methodologies to achieve business objectives.
Responsibilities:
Qualifications:
Job ID: 139921029
Skills:
cmp , silicon photonics , Optical coupling design, Advanced packaging technologies, CoPoS, CoW, Hybrid bonding, Wafer-level processing, CoWoS, Fiber packaging, Designing test vehicle for reliability and performance assessment, TSV
Skills:
switching regulators, charge pumps, Simulation, transistor-level circuit design
Skills:
antenna far-field measurement systems, Q3D, S-parameters, EM simulation tools, RF microwave design, Vector Network Analyzers, SIwave, Ads, RF measurement equipment, impedance matching, Ansys HFSS, antenna theory, EMI EMC principles
Skills:
scientific molding , automation, risk management, IQ OQ PQ, Tooling, Iso 13485, engineering change management, process development, regulated manufacturing environments, Process Validation, FDA QSR, supplier qualification, QMSR
Skills:
Statistical Analysis, OPC development, advanced process control methodologies, polarized illumination, process window analysis, photolithography processes, Doe, low k1 imaging, Simulation Software, Optics, reticle layout, immersion lithography, material characterization, lithography simulation tools, overlay optimization