NVIDIA is seeking an experienced Principal EDA R&D Engineer to pioneer the next generation of Hardware Formal Verification tools!
In this position, you will lead research, architecture, and development of core formal verification engines improved by Agentic AI frameworks. You will craft collaborative, autonomous AI agent networks to extend formal tools. These tools will automatically break down large builds, coordinate solver strategies, synthesize complex properties, and debug execution traces at an unmatched scale. This role requires deep algorithmic knowledge, rigorous industrial software engineering, and a strong record of producing production-grade EDA tools.
What you'll be doing:
Architect, construct, and advance brand new formal verification algorithms (e.g., Model Checking, SAT/SMT solvers, BDDs, Equivalence Checking, and Theorem Proving).
Design, develop, and deploy multi-agent AI systems (using LLMs, Reinforcement Learning, and Graph Neural Networks) that autonomously analyze RTL topologies, partition large design spaces, and dynamically tune solver parameters.
Develop intelligent orchestration layers where autonomous AI agents collaborate to bypass state-space explosion, handling multi-billion-gate builds and deep sequential depth.
Develop intelligent engines capable of handling ingestion, abstraction, and the automatic generation of complex System Verilog Assertions (SVA) from natural language specifications and architectural intent.
Drive features from initial algorithmic research through implementation in high-performance C/C++ environments, ensuring seamless integration into commercial EDA tool suites.
What we need to see:
Ph.D. or Master’s degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related quantitative field.
Minimum of 15 years of professional R&D experience specifically building commercial or advanced academic Electronic Design Automation (EDA) hardware verification tools.
Deep mathematical and hands-on understanding of formal methods, including bounded model checking (BMC), unbounded model checking (PDR/IC3), abstract interpretation, and theorem proving.
Expert-level proficiency in C/C++ (Modern C++17/20) passionate about high-performance data structures, memory optimization, and multi-threading.
Proven experience building or researching Agentic AI pipelines, multi-agent frameworks (e.g., LangChain, AutoGen, CrewAI), tool-use execution, and prompt-engineering tailored to structured code or hardware descriptions.
Experience with RTL languages (System Verilog, VHDL, Verilog) combined with solid understanding of System Verilog Assertions (SVA).
Ways to stand out from the crowd:
To distinguish yourself, demonstrate a flawless track record of successfully deploying world-class EDA solutions in high-stakes environments. Showcase any ambitious projects where you have carefully established innovative answers to complex verification challenges. Highlight experiences that reflect your ability to compete at the highest level and deliver outstanding results.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 232,000 USD – 368,000 USD.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
- Ph.D., Master's degree, or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related quantitative field
- At least 15 years of professional R&D experience building commercial or advanced academic EDA hardware verification tools
- Deep mathematical and practical understanding of formal methods, including bounded model checking, unbounded model checking, PDR/IC3, abstract interpretation, and theorem proving
- Expert-level proficiency in C/C++, including modern C++17/20, high-performance data structures, memory optimization, and multithreading
- Experience building or researching agentic AI pipelines, multi-agent frameworks, tool-use execution, and prompt engineering for structured code or hardware descriptions
- Experience with SystemVerilog, VHDL, or Verilog and a solid understanding of SystemVerilog Assertions
- Track record of deploying advanced EDA solutions in high-stakes environments
- Experience delivering innovative solutions to complex hardware verification challenges
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.
-
Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
-
Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
-
Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
