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. That translates to a bigger picture view of your work, going beyond simply responding to user requests to instead actively driving the roadmap of increasing hardware design productivity.
What we need to see
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
Strong communication and interpersonal skills
Ways to stand out from the crowd
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
NVIDIA is widely considered to be one of the technology world’s most desirable employers, and due to outstanding advancements, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting 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. The base salary range is 136,000 USD - 218,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 15, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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.
