NVIDIA Corporation

Principal EDA R&D Engineer

NVIDIA Corporation$232K — $368K *
Technical Services
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related field.
  • Minimum of 15 years of experience in R&D for commercial EDA hardware verification tools.
  • Strong knowledge of formal methods, model checking, and theorem proving techniques.
  • Expertise in C/C++ (Modern C++17/20) with a focus on performance optimization.
  • Experience developing Agentic AI pipelines and multi-agent frameworks.
  • Familiarity with RTL languages and understanding of System Verilog Assertions.

Responsibilities

  • Architect and advance new formal verification algorithms.
  • Design and develop multi-agent AI systems to analyze RTL topologies.
  • Create orchestration layers for autonomous AI agents to manage complex builds.
  • Develop engines that generate System Verilog Assertions from specifications.
  • Drive features from research through to high-performance implementation.

Benefits

  • Eligibility for equity awards.
  • Access to robust health and wellness programs.
  • Opportunities for professional development and continued education.
Full Job Description
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 the pay of employees in similar positions. The base salary range is 232,000 USD - 368,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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