Pattern Data Analytics R&D Engineer (Sr.Staff)

Synopsys, Inc.; Mississauga; On-site; CAD 80,000 - 130,000; Full time

Job summary

Join a forward-thinking company at the forefront of semiconductor design and innovation. As an R&D Engineer, you'll leverage your expertise in Electronic Design Automation and Machine Learning to push the boundaries of technology. Collaborate with a dynamic team to develop cutting-edge solutions that address critical industry challenges. Your contributions will drive advancements in semiconductor manufacturing, ensuring efficiency and accuracy in design processes. This is an exciting opportunity to make a lasting impact in a rapidly evolving field, while continuously learning and growing in a supportive environment.

Benefits

Health and Wellness Benefits

Financial Benefits

Comprehensive Rewards Package

Qualifications

• 5+ years of industry experience in EDA and semiconductor design.
• Proficient in developing Machine Learning models and Python APIs.

Responsibilities

• Collaborate with a multi-disciplinary team to enhance EDA tools.
• Develop software modules and maintain technical documentation.

Skills

Python

C++

Data Science

Machine Learning

EDA

Problem-Solving

Education

Ph.D. in Electrical Engineering

B.Tech/M.Tech in Computer Science

Tools

NumPy

Pandas

Matplotlib

Scipy

Job description

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:

As a highly skilled and innovative R&D Engineer, you are passionate about leveraging your expertise in Electronic Design Automation (EDA), Data Science, and Machine Learning to push the boundaries of semiconductor design and silicon manufacturing. You possess a deep understanding of the state of the art in EDA and demonstrate strong technical creativity in identifying existing open problems and critical gaps in current industrial solutions. Your ability to develop computational solutions, from prototype to full product implementation, sets you apart. You thrive in a collaborative environment, working with a multi-disciplinary team to build and test new families of EDA products. Your problem-solving skills, coupled with your proficiency in Python and C++, enable you to tackle complex challenges and deliver innovative solutions. You are driven by a desire to make a lasting impact in the field of semiconductor design, and your dedication to continuous learning and improvement fuels your success.

What You’ll Be Doing:

• Collaborate with a cross-functional, multi-disciplinary team to identify new methodological approaches to layout analysis and define algorithmic solutions.
• Develop software modules and shared libraries throughout a product life cycle, from prototype to customer release.
• Implement testing and benchmarking automation for Pattern Analytics tools.
• Coordinate the creation of engineering-level technical documentation for the supported products.
• Troubleshoot and solve customer problems after deployment.
• Stay updated with the latest advancements in EDA, data science, and machine learning to continuously enhance product offerings.

The Impact You Will Have:

• Drive innovations in semiconductor design and silicon manufacturing flows through advanced pattern analytics.
• Enhance the efficiency and accuracy of layout analysis methodologies, contributing to the overall improvement of EDA tools.
• Facilitate the development of cutting-edge computational solutions that address critical gaps in current industrial solutions.
• Ensure the successful deployment and adoption of new EDA products by providing robust technical documentation and customer support.
• Contribute to the continuous evolution of Synopsys' product offerings, maintaining our leadership in the industry.
• Empower semiconductor companies and software developers with innovative tools that streamline design and verification processes.

What You’ll Need:

• Ph.D. or B.Tech/M.Tech in Electrical Engineering (EE), Computer Science (CS), or related fields, with a minimum of 5 years of industry experience.
• Expertise in Python programming with a strong focus on data structures, advanced proficiency in libraries such as NumPy, Pandas, Matplotlib, Scipy, and development of new Python APIs or commands.
• Extensive experience in C++ and/or Java.
• Practical experience in developing Machine Learning models, including Graph Neural Network (GNN) models and LLM's type of models.
• Knowledge in probability and statistics, Electronic Design Automation (EDA), VLSI Physical Design Verification, and/or Mask Data Generation.

Who You Are:

• A collaborative team player who thrives in a multi-disciplinary environment.
• An innovative thinker with strong problem-solving skills and technical creativity.
• An excellent communicator, capable of conveying complex technical information to both technical and non-technical stakeholders.
• A detail-oriented individual with a passion for developing cutting-edge solutions.
• A proactive learner, continuously seeking to expand your knowledge and skills in EDA, data science, and machine learning.

The Team You’ll Be A Part Of:

Our team is dedicated to pushing the boundaries of semiconductor design and silicon manufacturing through advanced pattern analytics. We collaborate closely across disciplines, combining expertise in EDA, data science, and machine learning to develop innovative solutions that address critical industry challenges. As part of this dynamic team, you will have the opportunity to work on groundbreaking projects that drive technological advancements and shape the future of the semiconductor industry.

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.