Responsibilities

• 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 behavior 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 10 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).
• Excellent communication skills including ability to interface with customers and business unit personnel are essential.