Category Engineering Hire Type Employee Job ID 11958 Remote Eligible No Date Posted 03/07/2025 Alternate Job Titles: - Senior Staff AI Methodology Engineer
- Principal EDA Solutions Engineer
- AI-Driven RTL-to-GDS Flow Specialist
- Lead Application Engineer - AI EDA Solutions
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 an accomplished and forward-thinking engineering professional with a deep passion for the intersection of artificial intelligence and semiconductor design. Your expertise spans RTL-to-GDSII flows, and you have hands-on experience with industry-leading EDA tools, especially those driving the next generation of AI and high-performance compute silicon. You are highly analytical, able to dissect complex design challenges and architect robust, scalable solutions that address both immediate and future technology needs. You thrive in customer-facing roles, translating requirements into actionable methodologies and championing innovation every step of the way.
Your leadership skills are proven whether guiding junior engineers, collaborating with global customers, or interfacing with R&D to influence product direction. You communicate complex concepts with clarity, and your presentations inspire confidence and trust. Adaptable and resourceful, you excel at managing multiple priorities in dynamic, fast-paced environments. You have a track record of technical excellence, a commitment to continuous learning, and a genuine enthusiasm for empowering others. If you are driven by solving tomorrow s silicon challenges and have a curiosity to explore new AI-driven design paradigms, you will find your next career milestone here at Synopsys.
What You ll Be Doing: - Partnering with leading customers to develop and implement advanced AI-driven RTL-to-GDS methodologies using Synopsys EDA tools, IPs, and libraries.
- Creating and optimizing design flows and solutions to meet aggressive PPA (performance, power, area) targets for high-frequency cores, automotive, and high-capacity AI/compute designs.
- Enabling and deploying flows/solutions leveraging Synopsys offerings such as Fusion Compiler, RTL Architect, and AI-based Design Space Optimization engines, utilizing Tcl/Python scripting for automation.
- Collaborating cross-functionally with customers, R&D, and internal teams to drive innovative solution and feature development that anticipates and addresses real-world design challenges.
- Leading and mentoring a team of junior application engineers, providing technical guidance, coaching, and project management support to ensure successful execution of deliverables.
- Delivering technical presentations, application notes, and best practices to both internal and external stakeholders, supporting knowledge-sharing and customer enablement.
The Impact You Will Have: - Accelerate customer adoption of next-generation AI-driven design methodologies, empowering them to achieve breakthrough silicon results.
- Shape Synopsys technology direction by providing valuable field insights and partnering with R&D on new feature development.
- Reduce time-to-market and improve competitiveness for customers through innovative flow optimization and automation.
- Drive Synopsys leadership in AI-powered EDA solutions, further differentiating our offerings in a competitive market.
- Elevate the technical capabilities of the application engineering team through mentorship and cross-training.
- Enhance customer satisfaction and loyalty through proactive engagement, expert troubleshooting, and tailored technical support.
What You ll Need: - Bachelor s or Master s degree in Electrical Engineering, Computer Engineering, or related field with10+ years of relevant experience.
- Deep understanding of RTL-to-GDSII flows and hands-on experience with backend P&R tools (Fusion Compiler, ICC2, or similar).
- Expertise in physical synthesis, timing closure, clock tree synthesis (CTS), and routing at advanced technology nodes.
- Proficiency in Tcl and Python scripting for automating EDA workflows and optimizing design methodologies.
- Strong technical account management skills and a proven ability to lead and mentor teams in a high-performance environment.
- Outstanding verbal and written communication, presentation, and customer interaction skills.
Who You Are: - Collaborative and empathetic leader, skilled at building relationships and enabling the success of others.
- Analytical thinker with a problem-solving mindset and a passion for continuous improvement.
- Adaptable and resilient in the face of evolving customer requirements and technology landscapes.
- Strong organizational skills, able to manage multiple projects and priorities with poise.
- Driven by curiosity and a desire to innovate at the forefront of AI and semiconductor design.
The Team You ll Be A Part Of: You ll join a dynamic and diverse Application Engineering team at Synopsys Bangalore, dedicated to driving customer success and innovation in AI-enabled design automation. The team partners closely with global customers, R&D, and product management to deliver state-of-the-art solutions for the most advanced silicon on the planet. With a culture rooted in collaboration, technical excellence, and mentorship, you ll have the opportunity to lead, learn, and contribute to the next wave of EDA 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.
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.
