Responsibilities :
As Senior 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 advantageThe 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.Skills Required
Physical Synthesis, Machine Learning