Software Development and Engineering

NVIDIA's success builds on a foundation of industry leading hardware. Our team develops these tools by fusing advances in parallel computing, machine learning, and novel algorithms in C++. We are seeking an innovative CAD Software Engineer with particular interest in strategies and algorithms for large scale RTL quality, timing, and power optimization. Such optimization usually includes a mix of graph-based algorithms, AI, and feedback from RTL designers, so having experience relevant to each of those areas would be ideal. Developing software within a leading hardware company means getting to almost exclusively focus on the latest processes and most advanced designs. If you like to work across many technical areas and see your successes directly realized in the world's best AI hardware, this is it!

Invent new methods to enable parallel, graph-based RTL traversal, analysis, and manipulation.

Devise strategies for rapidly analyzing the impact of RTL changes on data path latency, power, and impact to DFT, clocking, and power delivery.

Explore use of LLMs (Large Language Models), GNNs (Graph Neural Networks), GANs (Generative Adversarial Networks), and Reinforcement Learning for suggesting or automatically implementing RTL modifications.

Explore high performance algorithms for clustering, min cost tree covering (technology mapping), datapath implementation and other details of logic synthesis, especially that efficiently incorporate human insight.

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. MS or PhD in Electrical Engineering or Computer Science or equivalent experience

3+ years of relevant experience in CAD software and VLSI hardware design

Demonstrated ability in software development with C++, particularly in algorithm development related to graph traversal, pattern matching, and optimization

Familiarity with RTL design, including Verilog and SystemVerilog code, as well as general hardware design concerns such as scan chain insertion, MBIST, clock and power distribution, and bus architectures

Familiarity with related EDA techniques, including logic synthesis, global route, static timing analysis, and SAT solvers

Experience with common EDA building blocks, such as Verific for Verilog parsing, Espresso for logic minimization, and various other components for logic rewriting, tree coverage, SAT solvers, and combinatorial optimization

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

Previous work experience including both software and hardware roles, especially involving SOC/IP integration or RTL design

Experience with various machine learning techniques for analysis, optimization, and code generation

Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 15, 2026.

NVIDIA uses AI tools in its recruiting processes.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.