R&D Engineer, Principal Engineer

You Are:

You are a visionary and technically accomplished engineering leader with an insatiable curiosity for emerging technologies. You thrive in high-impact environments where your expertise in machine learning, software architecture, and computational science can drive transformative change. Your background includes substantial experience in architecting and delivering complex ML-driven software solutions within large-scale projects, and you are passionate about leveraging your deep understanding of mathematical and physical modeling to solve real-world problems.

What You’ll Be Doing:

• Maintaining and enhancing existing machine learning software implementations to improve performance and reliability.
• Partnering with field support teams and customers to gather and analyze new technical requirements.
• Designing advanced ML architectures that address diverse problem areas within semiconductor design and EDA.
• Collaborating with cross-functional teams to enable seamless integration and complex workflows across Synopsys tools.
• Optimizing software for GPU hardware to accelerate computation and resource efficiency.
• Driving the adoption and integration of large language models (LLMs) and generative AI within core product offerings.
• Providing technical leadership and mentoring to junior engineers, fostering a culture of innovation and best practices.

The Impact You Will Have:

• Directly influence the development of next-generation EDA tools, enabling rapid node migration and right-first-time silicon.
• Advance the state-of-the-art in computational lithography, image processing, and ML-driven design automation.
• Empower Synopsys customers to solve high-value semiconductor design challenges with intelligent, scalable solutions.
• Accelerate product innovation cycles by architecting and deploying robust, high-performance ML systems.
• Drive cross-team collaboration, ensuring seamless integration and workflow optimization across the EDA Group.
• Shape Synopsys’ technical roadmap by identifying and championing emerging ML technologies and methodologies.
• Enhance product reliability and efficiency, contributing to Synopsys' reputation as a leader in semiconductor design software.

What You’ll Need:

• Demonstrated analytical and problem-solving skills with a strong desire to explore new technologies.

• Expert-level programming in C++ and Python, with deep familiarity in data structures and algorithms.
• Hands-on experience with numerical computation and optimization for hardware acceleration (e.g., GPU).
• Comprehensive knowledge of machine learning techniques, architectures, and their real-world applications.
• Experience with ChatGPT, LLMs, and generative AI in software engineering contexts.
• Outstanding communication skills and the ability to work effectively in a collaborative team environment.
• MS in Computer Science, Electrical Engineering, Physics, Applied Math, or related fields with 3+ years of experience, or PhD in related fields.

Who You Are:

• Innovative thinker with a strong background in computational lithography, image processing, or machine learning.
• Experienced in the development and delivery of large, complex software projects.
• Possess a solid foundation in mathematical or physical modeling and its application to real-world problems.
• Collaborative, inclusive, and committed to fostering a supportive team environment.
• Adaptable, eager to learn, and proactive in identifying opportunities for technical and process improvement.
• Effective communicator and mentor, able to inspire and guide peers and junior engineers.

The Team You’ll Be A Part Of:

You will join the EDA Group at Synopsys, a team dedicated to solving the semiconductor design industry’s most challenging and high-value problems. Our focus spans the march to angstroms, multi-die system integration, rapid node migration, right-first-time silicon, and reliability. Here, you’ll collaborate with world-class engineers, researchers, and product leaders committed to advancing the boundaries of chip design through innovation, teamwork, and technical excellence.

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.

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.

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At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.