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Job Description

ASIC-PD team is hiring both junior and senior engineers, whose work scope is physical design from RTL to GSDII: design quality check, synthesis, formal check, partitioning, constraint (for both design and process), async check, timing analysis/fixing/signoff, also all related flow. Join us, you will work together with expertise in all these areas; you will not only work for physical application, but also drive physical friendly design with all related teams: ASIC/P&R/DFT/SI/ARCH etc.; you will work for the most advanced process/technology, the biggest chip in the world.

What You’ll Be Doing

  • Invent and optimize new methods for increasing chip frequency while minimizing power consumption across a suite of internal optimization tools. 

  • Improve algorithms (in C++) for IR drop optimization, simulation

  • As with any software engineering team, we do write a lot of code, but this is broader than a typical CAD or EDA role. Instead, we as a team own the whole process from discovery and invention of new optimization opportunities, to developing solutions and working directly inside design teams to facilitate deployment.

What We Need To See

  • BS, MS, PhD in Electrical Engineering or Computer Science or equivalent experience

  • Minimum 2+ years of relevant experience in CAD software and VLSI hardware design

  • Strength in both CAD software and VLSI design

  • Understanding of VLSI IR drop optimization or simulation and related concepts, including constraints, corner, CCSP, FSDB etc.

  • Demonstrated ability in software development using C++

  • Strong communication and interpersonal skills

Ways To Stand Out From The Crowd

  • Familiarity with RedHawk and typical design flows written in Perl, Tcl, and Python.

  • C++14 or newer experience, such as lambdas and concurrency

  • Experience in high-performance software design including multithreading, distributed computing, efficient memory, and I/O use, etc.

  • Experience in IR drop optimization, calculation

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NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

All jobs at NVIDIA

Eligibility

China

Right to work in China required.

Workplace

On-site

Job Overview
Job Posted:
1 month ago
Job Type
Full Time
Education
Any
Experience
3-4 years

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