NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA’s CAD Infrastructure team and be part of something outstanding! We are building a next-generation software platform for semiconductor development, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ambitious endeavor, and we need engineers who thrive in a hands-on environment, ready to contribute to every phase from architecture to implementation. This role will allow you to compose the future of computing and make a lasting impact on the world!
What you'll be doing:
Architecting highly automated and customizable flows using modular builds and object-oriented techniques.
Collaborating with architects and designers during active spec development to identify integration gaps and keep workstreams aligned.
Building event-driven data preprocessing pipelines for large-scale graph data.
Constructing tools and user interfaces in C++ and Python adapted for advanced engineering workflows.
Engaging cross-functionally with VLSI organizations to anticipate future challenges and build solutions.
What we need to see:
8+ years of relevant software engineering experience.
BS or MS in Computer Science or Computer Engineering, or equivalent experience.
Hands-on experience in C++ and Python programming.
Strong foundations in software building, algorithms, and data structures.
Proficiency in software architecture: you've built systems, not just contributed to them.
Strong communication skills and comfort working across fields during an evolving development cycle.
Ways to stand out from the crowd:
Experience building GUIs for engineering tools — complex, data-rich interfaces built by engineers, for engineers.
Background in graph-scale data infrastructure or GNN-based systems.
Exposure to ML or agentic tooling, particularly LLM-based code generation.
Familiarity with EDA or VLSI build environments.
Experience exposing software toolchains to AI agents or building developer-facing AI interfaces.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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 for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.
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.Skills Required
- 3+ years of EDA tool development in the ASIC design/verification field
- Hands on experience with ASIC design and verification
- Good with C++ and other programming languages like Python, Perl, TCL
- BS or Master degree in Electrical Engineering/Computer Engineering/Computer Science or equivalent experience
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
