Design Engineer for Physical Methodology at NVIDIA involved in physical design for GPUs and SOCs. Collaborating with teams on design challenges and enhancing design processes.
Responsibilities
Expected to be part of the physical design methodology team
PD activities includes floor plans, abstract view generation, RC extraction, PNR, STA, EMIR DROP, DRCs & schematic to layout verification
Work in collaboration with design team for addressing design challenges
Help team members in debugging tool/design related issues
Constantly look for improvement in RTL2GDS flow to improve PPA
Troubleshoots a wide variety up to and including difficult design issues and applied proactive intervention
Write scripts (TCL/Python) to help design teams move forward with their design and chip goals
Build flows based on industry standard EDA tools to implement designs efficiently and improve PPA
Support flows for chip design teams across tapeouts and tech nodes
Requirements
BE/BTECH/MTECH, or equivalent experience
3+ years of experience in Physical Design, preferably with methodology/flow experience
Strong understanding in the RTL2GDSII flow or design implementation in leading process technologies
Good understanding of the RTL2GDSIl concepts related to synthesis, place & route, CTS, timing convergence, layout closure
Expertise on high frequency design methodologies
Good knowledge and experience in Block-level and Full-chip Floor-planning and Physical verification
Working experience with tools like ICC2/Innovus, Primetime/Tempus/Seahawk etc used in the RTL2GDSIl implementation
Strong knowledge and experience in standard place and route flows ICC2/Synopsys and Innovus/Cadence flows preferred
Well versed with timing constraints, STA, IR and ECO timing closure
Strong algorithmic thinking with good automation skills in PERL, TCL, tool specific scripting on one of the industry leading Place & Route tools
Python will be helpful too
Ability to multi-task and flexibility to work in global environment
Good communication skills and strong motivation
Strong analytical & Problem Solving skills
Willingness to learn and master new techniques quickly
Innovate and drive changes across teams & workflows
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