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# Software R&D Engineer, VLSI Physical Design

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $168,000.0 - $264,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Very-Large-Scale Integration, C++ (Programming Language), Distributed Systems, Perl (Programming Language), Python (Programming Language), Tensorflow, Software Engineering, Tcl (Programming Language), Reinforcement Learning, Multithreading, Graph Neural Networks, AWS Lambda, Information Technology, Physical Design, C++14
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_ScrapingHub33470-JR2015155

## About the Role

What we need to see: + BS, MS, PhD or equivalent experience in Electrical Engineering or Computer Science + 6+ years in VLSI algorithms development using C++ + Strong understanding of VLSI timing optimization and related concepts, including cell libraries, interconnect models, crosstalk, glitches, IR drop, timing constraints, corners, congestion, etc. + Familiarity with design implementation tools such as ICC2, Innovus, PrimeTime, Tempus, and StarRC and typical design flows written in Perl, Tcl, and Python + Strong communication and interpersonal skills Ways to stand out from the crowd: + C++14 or newer experience, such as lambdas and concurrency + Detailed understanding of how multiple Physical Design steps interact and how they can potentially be fused together to form hybrid engines that result in better PPA + Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. + Highly driven to craft
outstanding software towards improving PPA with a dedication to continuous improvement + Experience with reinforcement learning, GNNs (Graph Neural Networks), and other relevant machine learning frameworks, especially as applied to physical design NVIDIA is widely considered to be one of the technology world's most desirable employers, and due to outstanding growth, our teams are rapidly growing.
Are you passionate about becoming a part of a best-in-class team driving the latest in GPU and AI technology?
If so, we want to hear from you! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

## Description

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.