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Synopsys, Inc.

Machine Learning Analog Mixed Signal Layout Design Engineer

Synopsys, Inc., Sunnyvale, California, United States, 94087


We are:At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.You are:You are a passionate and innovative Engineer with a knack for building transformative AI-driven products. You excel in dynamic, collaborative environments and have a proven track record of developing, testing, and maintaining integrated AI applications. With a strong foundation in analog layout design and a drive to stay updated with the latest technological advancements, you are always ready to tackle new challenges. Your excellent communication skills enable you to work effectively with cross-functional teams, ensuring seamless integration and a superior user experience. You take pride in your work and are committed to enhancing productivity and setting industry standards through cutting-edge AI solutions.What You’ll Be Doing:Working on a small team that does solution-focused research and prototyping for machine learning methods to help solve problems for users.Design internal and external products to improve employee productivity using machine learning and deep learning tools.Develop applications to enable simplified access to AI features across multiple domains.Architecting deep learning pipelines and applications tailored to Custom Mixed Signal design challenges. Conducting experiments to evaluate model performance, identifying areas for improvement, and implementing optimizations.Collaborating with cross-functional teams to design and develop scalable solutions that align with business objectives.Communicating complex technical concepts and findings to both technical and non-technical stakeholders.Driving innovation in new generative AI approaches and staying up-to-date on the latest research in the field.The Impact You Will Have:Enhance employee productivity through innovative AI-based solutions.Facilitate seamless integration of AI solutions into existing applications, improving overall user experience.Ensure fast GenAI application prototyping through development infrastructure streamlining.Lead the adoption of cutting-edge technologies and frameworks, setting new industry standards.Drive the development of high-performance, scalable AI solutions that meet the evolving needs of the business.Empower teams to leverage AI technologies effectively, fostering a culture of innovation.What You’ll Need:Bachelors in Electrical/Computer Engineering, Computer Science, or a related field. Master’s Degree preferred.4+ years of experience applying machine learning and AI methods to engineering problems.Proven track record of building machine learning projects from scratch.Strong foundation in Analog design is required.Proficiency in Python and a solid background in data structures and algorithms.Experience with LLMs, and other generative AI techniques is a definite plus.Strong problem-solving skills and the ability to work both independently and collaboratively.Ability to adapt quicky to changes in a fast-paced environment.Excellent communication and presentation skills.Who You Are:A collaborative team player and an independent problem-solver.An excellent communicator capable of translating complex technical concepts for diverse audiences.A continuous learner who stays updated with the latest advancements in AI and machine learning.Proactive and able to work independently with minimal supervision.The Team You’ll Be A Part Of:You will be part of a dynamic and forward-thinking team focused on developing and integrating cutting-edge solutions. Our team values collaboration, innovation, and a commitment to excellence. We work closely with various departments to ensure our products enhance overall productivity and user experience.

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