Applications Engineering, Staff Engineer

As Staff Application Engineer (AE) , you will be Working on latest Synopsys implementation technologies ( Machine Learning , Physical Synthesis , Multi Source CTS etc ) to solve complex PPA challenges faced by Synopsys customers. Working on benchmarks to displace competition implementation solutions Working with customers to develop and debug RTL-GDS implementation methodologies and flows. Providing technical solutions by identifying the design and/or EDA tool issues and provide appropriate solution for customers Effectively translate the findings into requirements for R&D to improve both tool behaviour with enhancements as adaptive long-term solutions. Involved in deployment of new technologies on latest EDA versions and enable customers to migrate to newer versions achieving best PPA. Coming up with proactive understanding of customers pain point and come up with innovative solutions to address the same. Closely interacting with Synopsys R&D team and product development team to develop future technologies This role requires you to act as customers advocate while talking to inhouse R&D and be a product brand ambassador while engaging with customers. Requirements At-least 5 years of experience in Physical Implementation RTL-GDS. Experience in unsupervised debugging and resolving synth & PnR implementation challenges. Candidate must have good exposure towards methodology changes to achieve targeted PPA metrics for complex designs. Proficiency in Synopsys implementation tools is an advantage The person must be self-motivated and dedicated with solid debug skills. Requires proficiency in scripting (tcl / Unix / Perl / Python). Excellent communication skills including ability to interface with customers and business unit personnel are essential. Who You Are: * Proactive and solution-orien ted with a strong problem-solvin g mindset. * Excellent communicator, able to convey technical information clearly and effectively. * Collaborative team player with strong interpersonal skills. * Adaptable and able to thrive in a fast-paced, dynamic environment. * Committed to continuous learning and professional development.