CAD Developer, IR, Timing and Physical Design Optimization
Listed on NVIDIA’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there.
Apply on NVIDIA’s careers site →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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