Job Description and Requirements
Responsibilities
- As an Application Engineer (AE), you will be
- Working on the 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 providing the appropriate solutions 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 a proactive understanding of customers' pain points and coming 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.
- At least 2 years of experience in Physical Implementation RTL-GDS. Experience in unsupervised debugging and resolving synth & PNR implementation challenges.
- The candidate must have good exposure to 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 (python / tcl / unix / perl).
- Excellent communication skills including the ability to interface with customers and business unit personnel are essential.
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