CAD Developer, IR, Timing and Physical Design Optimization

Posted:
8/2/2026, 7:00:47 PM

Location(s):
Shanghai, China

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
Mechanical Engineering

Workplace Type:
On-site

Pay:
$206k/yr

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

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality

Visa Sponsorship: Sponsors work visas