Device/Process Integration Engineer

Overview In this role you drive process and device improvements for analog and embedded technologies in TI's advanced 300mm wafer fab. You’ll lead cross-functional efforts to optimize parametric performance, reliability, and manufacturability, partnering with process, integration, reliability, packaging, and test teams. Your work shapes competitive technology and product performance for game-changing electronics. You will manage schedules, communicate progress, and influence multiple organizations to deliver results. Compensation / Benefitscompetitive paybenefits designed to help you and your familywell-being focus ResponsibilitiesEnable competitive technology through process and parametric improvements using device physicsLead characterization, test, DOE, data analysis and simulation to drive improvementsOwn technology parametric performance and parametric Cpk improvementsDefine and evaluate experiments to reduce scrap/outliers and improve processesCreate/review product flow and lead cross-functional transfer, development, qualification, and manufacturingCollaborate with process, integration, reliability, packaging and test engineers to meet goalsWork with product groups to optimize process performance to meet critical device parameters to enable market-ready productsPlan effectively, drive schedules, meet deadlines on multiple tasks, and communicate project status clearlyInterface with multiple organizations and work well on a diverse team to accomplish goalsCommunicate effectively and present project outcomes to stakeholders Key requirements2 years relevant engineering experienceBachelor in EE/ECE or semiconductor related fieldstrong analytical and problem solving skillsgood communication and presentation abilitiestime management skills for on-time project deliveryability to work in teams across functionsinitiative and drive for resultsstrong communication and presentation skillsteam collaboration across functionstime management and multi-taskingsemiconductor device physics knowledgedesign of experiments (DOE)data analysis and interpretation