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 creative, entrepreneurial, and independent problem solver, proficient at navigating the uncertainties associated with transforming research into products. You have a strong background in applying state-of-the-art deep learning models, including image segmentation, generative techniques such as GANs and diffusion, and active or reinforcement learning, to solve complex problems. Your expertise in Python and associated ML libraries (Pytorch, TensorFlow, Pandas, Numpy, Sklearn) is exceptional. You thrive in large-scale scientific computing environments, including distributed computing and databases. Your familiarity with the IC design stack, encompassing digital design, analog design, SOC architecture, and IC validation, sets you apart. You possess strong interpersonal skills for interfacing both with internal teams and customers. You hold a PhD in Electrical Engineering or Computer Science.

What You’ll Be Doing:

• Applying machine learning techniques to solve complex problems in circuit variation analysis and standard cell library generation and validation.
• Developing novel solutions and working as part of a team to translate these solutions into marketable products.
• Collaborating with leading semiconductor firms to implement and refine these solutions.
• Extending existing methods and developing new approaches to address customer needs in semiconductor process and environmental variation impact estimation.
• Engaging in continuous learning to stay updated with the latest advancements in machine learning and semiconductor design.
• Contributing to the development of advanced ML-based solutions for performance estimation of standard cells, memories, and analog components.

The Impact You Will Have:

• Enhancing the accuracy and efficiency of circuit variation analysis.
• Improving the generation and validation of standard cell libraries.
• Driving innovation in the intersection of EDA and machine learning.
• Empowering semiconductor firms with advanced ML-based solutions.
• Contributing to the creation of high-performance silicon chips.
• Supporting the development of technologies that shape the future of various industries.

What You’ll Need:

• Experience with state-of-the-art deep learning models, including image segmentation, GANs, diffusion techniques, and reinforcement learning.
• Proficiency in Python and associated ML libraries (Pytorch, Tensorflow, Pandas, Numpy, Sklearn).
• Experience with large-scale scientific computing and distributed computing.
• Familiarity with the IC design stack, including digital design, analog design, SOC architecture, and IC validation.
• Strong interpersonal skills for effective collaboration with internal teams and customers.
• A PhD in Electrical Engineering or Computer Science.

Who You Are:

•  A creative and independent problem solver. 
• An innovative thinker with an entrepreneurial mindset. 
• A strong communicator with excellent interpersonal skills. 
• A collaborative team player who can work effectively with diverse teams. 
• Detail-oriented with a strong focus on quality and precision.

The Team You’ll Be A Part Of:

You will be part of a dynamic team that develops and supports advanced machine learning-based solutions. Our focus is on estimating the impact of semiconductor process and environmental variations on the performance of standard cells, memories, and analog components. You will extend existing methods and develop new ones to meet customer needs, ensuring our solutions remain at the forefront of technological innovation.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.