ASIC Physical Design Methodology Engineer at NVIDIA
Shanghai, Shanghai, China -
Full Time


Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Electrical Engineering, Computer Engineering, Timing Analysis, Timing Closure, Flow Automation, CMOS Technologies, FinFET Technology, Standard Cell Design, Parameter Extraction, Device Physics, STA Methodology, EDA Tools, TCL, Python, Perl, Spice Analysis

Industry

Computer Hardware Manufacturing

Description
ASIC-PD methodology team are responsible for the development of timing analysis and timing closure methodologies and flow automation for super large and high speed semi-custom chips using deep submicron processes. This includes: Research and implement state-of-the-art timing signoff methodology on deep sub-micron process Build automatic flow with commercial timing signoff tools to achieve high quality timing closure Develop internal tools and methodology to automate timing constraint/SDC generation support the physical design implementation team for speed of light project execution What you'll be doing: Develop and validate flows for ASIC backend library quality check, maintain and release methodology. Build and validate flows for design level lib cells usage auditing. Setup flows/methodology on library in deep submicron physical effects such as aging, self heating, etc. What we need to see: MS/PhD in Electrical or Computer Engineering with 2+ years industry experience Understanding of standard cells/memory/IO/PLL and other hard IP modeling and their usage in the ASIC flow. Hands-on experience in advanced CMOS technologies, design with FinFET technology 7nm/5nm/3nm and beyond. Good knowledge with standard cell design & layout Good knowledge of parameter extraction, device physics, STA methodology and EDA tools. Understanding spice analysis, crosstalk, electro-migration, noise, OCV, timing margins. Expertise in coding- TCL, Python, Perl. Familiarity with industry standard ASIC tools: LC, PT, Spice, etc. Strong communications skill and good teamwork experience NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.
Responsibilities
Develop and validate flows for ASIC backend library quality check and maintain methodology. Support the physical design implementation team for project execution.
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