> Markdown version of [/jobs/ext/4585727-device-integration-engineer-staff](https://www.wearedevelopers.com/jobs/ext/4585727-device-integration-engineer-staff). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Device Integration Engineer, Staff - **Company:** Tower Semiconductor - **Location:** Newport Beach, CA, United States - **Experience:** Expert - **Salary:** $160,000.0 - $177,500.0 - **Contract:** Permanent contract - **Skills:** Very-Large-Scale Integration, Data Analysis, Interoperability, Statistical Process Control (SPC), Iq/oq/pq, Data Processing, Yield Optimization, Data Analytics, Stable Diffusion - **Published:** November 5, 2026 - **Apply:** https://diversityjobs.com/career/18844112/Device-Integration-Engineer-Staff-California-Newport-Beach ## About the Role * You excel at improving and sustaining semiconductor manufacturing processes. * You enjoy developing new process solutions and continuously improving existing technologies. * You thrive in cross-functional collaboration with engineering, manufacturing, and operations teams. * You are experienced in analyzing E-test, process, and product yield data to drive continuous improvement. * You make decisions based on data, analytics, and structured problem-solving. * You are a self-starter who takes initiative and demonstrates strong ownership. * You enjoy managing multiple priorities in a dynamic manufacturing environment. * You are diligent, detail-oriented, and committed to manufacturing excellence., * Bachelor's degree in Electrical Engineering, Chemical Engineering, Physics, Materials Science, or a related technical field. * 7+ years of hands-on experience in semiconductor manufacturing, process integration, or technology development. * Deep knowledge and experience in at least one core semiconductor technology area, such as Process Integration, BiCMOS/Device Physics, Thin Films, Etch, CMP, Photolithography, or Diffusion. * Proven experience using SPC, DOE, statistical data analysis, and yield analysis tools to drive process and manufacturing improvements. * Strong analytical, problem-solving, and data-driven decision-making skills. * Ability to translate complex technical concepts and analytical findings into clear presentations for diverse audiences. * Strong interpersonal and communication skills with the ability to work effectively in a cross-functional environment., * M.S. or Ph.D. in Electrical Engineering, Chemical Engineering, Physics, Materials Science, or a related technical field. * 10+ years of experience in semiconductor manufacturing, process integration, or technology development. * Extensive cross-functional experience collaborating with Process Engineering, Equipment Engineering, Operations, R&D, and other relevant teams to drive technology development, yield improvement, and manufacturing excellence. ## Description Responsible for improvement and sustaining of all manufacturing processes; development of new process modules; leading or coordinating large projects. Interact and collaborate with Process Engineering, Equipment Engineering, Operations and R&D groups on inter-departmental and cross-functional projects. Perform circuit level failure analysis, analyze E-test and product yield data, and provide feedback to engineers and managers to continuously improve the manufacturing process. * Develop, implement, and optimize semiconductor process technologies within a VLSI manufacturing and foundry environment. * Drive process integration, yield enhancement, and continuous improvement of existing and newly developed technologies. * Participate in and coordinate experiments, including Design of Experiments (DOE), to advance technology development and improve manufacturing performance. * Analyze E-test, product yield, and process data to identify trends, root causes, and opportunities for improvement. * Apply Statistical Process Control (SPC), data analytics, and structured problem-solving methodologies to drive data-based decisions. * Collaborate with Process Engineering, Equipment Engineering, Operations, R&D, and other cross-functional teams to resolve process and manufacturing issues. * Support technology transfer, process qualification, manufacturing ramp-up, and transition from development to stable production. * Improve process robustness, manufacturability, and overall manufacturing efficiency. * Support customer and internal stakeholder inquiries, technical discussions, and issue resolution as needed. * Communicate technical findings, analysis, and recommendations clearly to diverse technical and management audiences.