Sr Staff Engineer

As a technically strong and curious engineer with a solid background in TCAD and semiconductor device physics, combined with a passion for Python-based engineering automation and applied AI/ML, you will lead innovation in electronic design automation and semiconductor technology at Synopsys. Your role will involve developing, enhancing, and maintaining TCAD simulation workflows for device and/or process modeling across advanced semiconductor technologies. You will drive improvements in device physics models, process flows, and simulation engines through hands-on analysis and close collaboration with core R&D teams. Additionally, you will design and implement Python-based tools, APIs, and automation frameworks to improve workflow robustness, usability, and scalability. Your expertise in AI and Python-based approaches will be crucial in improving the efficiency, quality, and automation of the TCAD release process. Key Responsibilities: - Develop, enhance, and maintain TCAD simulation workflows for device and/or process modeling across advanced semiconductor technologies. - Drive improvements in device physics models, process flows, and simulation engines through hands-on analysis, benchmarking, and close collaboration with core R&D teams. - Design and implement Python-based tools, APIs, and automation frameworks to improve workflow robustness, usability, and scalability. - Use AI and Python-based approaches to improve the efficiency, quality, and automation of the TCAD release process, including regression analysis, validation flows, and release readiness metrics. - Collaborate with cross-functional teams to translate engineering requirements into production-quality software solutions. Qualifications Required: - MS or PhD in Electrical Engineering, Physics, Materials Science, Computer Science, or equivalent. - 5+ years of industry experience in TCAD, semiconductor device physics, or process simulation. - Strong proficiency in Python for scientific computing, automation, and tooling. - Experience applying AI/ML techniques to engineering workflows. - Strong analytical thinking, problem-solving ability, and communication skills. In this role, you will directly influence the next generation of TCAD tools by improving simulation accuracy, performance, and usability through AI-driven innovation and Python automation. You will enable more robust and efficient TCAD releases using data-driven validation and automated regression workflows. Your contributions will influence the evolution of TCAD tools toward modern, scalable, AI-enhanced platforms and accelerate adoption of advanced TCAD capabilities across internal teams and customers. Nice to Have: - Experience applying ML frameworks to scientific or engineering problems. - Exposure to EDA tool development or semiconductor R&D environments. - Experience supporting large-scale validation or release processes. Joining the highly skilled TCAD team at Synopsys, you will advance simulation technology through physics-based models and AI-enhanced methodologies, working closely with product development, applications, and research teams worldwide. As a technically strong and curious engineer with a solid background in TCAD and semiconductor device physics, combined with a passion for Python-based engineering automation and applied AI/ML, you will lead innovation in electronic design automation and semiconductor technology at Synopsys. Your role will involve developing, enhancing, and maintaining TCAD simulation workflows for device and/or process modeling across advanced semiconductor technologies. You will drive improvements in device physics models, process flows, and simulation engines through hands-on analysis and close collaboration with core R&D teams. Additionally, you will design and implement Python-based tools, APIs, and automation frameworks to improve workflow robustness, usability, and scalability. Your expertise in AI and Python-based approaches will be crucial in improving the efficiency, quality, and automation of the TCAD release process. Key Responsibilities: - Develop, enhance, and maintain TCAD simulation workflows for device and/or process modeling across advanced semiconductor technologies. - Drive improvements in device physics models, process flows, and simulation engines through hands-on analysis, benchmarking, and close collaboration with core R&D teams. - Design and implement Python-based tools, APIs, and automation frameworks to improve workflow robustness, usability, and scalability. - Use AI and Python-based approaches to improve the efficiency, quality, and automation of the TCAD release process, including regression analysis, validation flows, and release readiness metrics. - Collaborate with cross-functional teams to translate engineering requirements into production-quality software solutions. Qualifications Required: - MS or PhD in Electrical Engineering, Physics, Materials Science, Computer Science, or equivalent. - 5+ years of indust