Machine Learning Engineer

Role Overview: You are a dynamic and forward-thinking Machine Learning Engineer with a passion for bridging advanced AI methods and the intricate world of semiconductor manufacturing. You thrive in multidisciplinary environments, working at the intersection of software engineering, data science, and electronics. Your expertise in developing and scaling machine learning solutions is matched by your curiosity to explore new algorithms and your commitment to excellence. Collaboration comes naturally to you as you effectively communicate with technical and non-technical colleagues, fostering innovation through shared knowledge and open dialogue. You are detail-oriented, organized, and relentless in your pursuit of robust, reliable, and scalable solutions. Above all, you are eager to make a tangible impact on the future of semiconductor manufacturing by leveraging cutting-edge technology and contributing to a culture of continuous improvement and learning. Key Responsibilities: - Designing and implementing advanced ML models tailored to Optical Proximity Correction (OPC) and Inverse Lithography Technology (ILT) workflows. - Developing and deploying AI-powered solutions to automate mask and wafer defect detection and management. - Building robust software prototypes and transitioning them into scalable, production-grade tools for semiconductor manufacturing. - Benchmarking and validating ML solutions against industry standards, customer datasets, and real-world manufacturing scenarios. - Collaborating with cross-functional teams, including process engineers, software developers, and product managers, to align solutions with business and technical requirements. - Documenting methodologies, authoring technical publications, and contributing to internal knowledge bases to foster organizational learning. - Staying abreast of the latest developments in ML/AI and semiconductor manufacturing, and proactively integrating new techniques and technologies into our solutions. Qualifications Required: - Ph.D. or M.Tech/B.Tech in Computer Science, Electrical Engineering, or related fields, with 6+ years of relevant industry experience. - Proven experience in developing ML/AI solutions using CNNs, Generative AI, Agentic AI, or similar advanced techniques. - Strong programming skills in Python and C/C++ for high-performance, scalable software development. - Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX. - Experience building production-grade ML pipelines, including data preprocessing, model training, validation, and deployment. - Familiarity with computational geometry and image processing as applied to semiconductor workflows (preferred). - Understanding of EDA tools, VLSI layout manipulation, and semiconductor manufacturing processes (preferred). Company Details: You will join a world-class R&D team at Synopsys dedicated to pioneering next-generation software solutions for semiconductor manufacturing. The team values open collaboration, creative problem-solving, and a shared commitment to pushing the boundaries of what's possible. Together, impactful solutions are delivered that shape the future of the semiconductor industry.,