New

R&D Methodology and Automation Lead

Synopsys
$166000-$249000
United States, Texas, Austin
Apr 27, 2026
Date posted 02/22/2026 Category Engineering Hire Type Employee Job ID 15060 Base Salary Range $166000-$249000 Remote Eligible No Date Posted 02/22/2026 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 strategic, forward-thinking leader with a passion for methodology, automation, and driving impactful change across engineering organizations. You thrive on tackling complex challenges in EDA and semiconductor design, using a combination of deep technical expertise and collaborative leadership. Your experience spans developing and deploying automated workflows, optimizing design methodologies, and fostering innovation in high-performance teams. You are naturally curious, always seeking to improve tools, processes, and outcomes, and you empower others to do the same.Your leadership style is inclusive and growth-oriented-you mentor, inspire, and guide diverse groups of engineers toward shared goals. You communicate technical vision with clarity, ensuring alignment and buy-in from stakeholders at all levels. You are adept at managing multiple priorities, adapting to evolving requirements, and making data-driven decisions that enhance productivity and quality. Your commitment to excellence and continuous improvement defines your approach, and you are excited to shape the next generation of EDA solutions at Synopsys. What You'll Be Doing: Leading the development and deployment of advanced design methodologies and automation frameworks for analog, mixed-signal, and digital IC design. Managing and mentoring a team of engineers focused on EDA methodology and automation initiatives. Collaborating with R&D, product, and application teams to define, refine, and implement best-in-class designflows and processes. Driving the adoption of AI/ML-driven automation to accelerate verification, improve quality metrics, and reduce manual effort in design cycles. Identifying bottlenecks and inefficiencies in current workflows, and delivering innovative, scalable solutions using scripting, CAD tools, and process re-engineering. Interfacing with foundry, IP, and customer teams to ensure methodologies align with leading-edge technology requirements and customer needs. Documenting and communicating methodology improvements, success stories, and lessons learned to drive global adoption and knowledge sharing. The Impact You Will Have: Accelerating time-to-market for Synopsys customers through robust, automated design flows. Elevating the quality, reliability, and scalability of EDA methodologies and toolchains across multiple projects and technology nodes. Influencing the roadmap and strategic direction of Synopsys' automation and methodology offerings. Empowering engineering teams with state-of-the-art tools, training, and support to maximize productivity and innovation. Enhancing collaboration between R&D, application engineers, and customers by standardizing best practices and methodologies. Reducing engineering overhead and manual intervention through data-driven process improvements and automation. What You'll Need: 10+ years of experience in EDA methodology, CAD automation, or semiconductor process development (analog, mixed-signal, or digital domains). Proven leadership, mentoring, and project management skills in a cross-functional engineering environment. Deep hands-on expertise with industry-standard EDA tools (e.g., Synopsys Custom Compiler, Cadence Virtuoso, Calibre, ICV, or similar). Strong programming and scripting skills in Python, Perl, TCL, Shell, SKILL, or related languages, with a focus on automation and tool integration. Demonstrated experience in developing, deploying, and supporting complex design methodologies across multiple technology nodes. Track record of driving process improvements, methodology adoption, and tool optimization initiatives. Who You Are: Collaborative leader who fosters a culture of innovation, inclusion, and continuous improvement. Effective communicator, able to influence technical and non-technical audiences alike. Strategic thinker with strong analytical and problem-solving abilities. Adaptable, self-driven, and comfortable working in dynamic, fast-paced environments. Detail-oriented and committed to delivering high-quality solutions that advance organizational goals. The Team You'll Be A Part Of: You'll join the Mixed Signal IP Methodology Team-an innovative group dedicated to developing and advancing full custom analog and ASIC layout methodologies for high-speed integrated circuits. The team is known for its collaborative spirit, technical excellence, and pioneering use of automation and AI/ML in design flows. As a lead, you'll work closely with engineers, CAD experts, and stakeholders across Synopsys, shaping world-class solutions for 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. 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.