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Senior Soc Verification Methodology Engineer

Nvidia
  • Santa Clara, CA
    30+ days ago

    Job Description

    We are looking for a Senior Verification Infrastructure Engineer to join the SoC verification team at NVIDIA. In this role, you will build, develop, and maintain scalable verification infrastructure that enables efficient system-level verification across System level Simulations, Emulation, FPGA prototyping, and C-model environments. Your work will be foundational to ensuring correctness, performance, and quality of NVIDIA's SoCs used across AI Datacenters, self-driving cars, robotics, and embedded platforms. This is your chance to work with innovative technology and make a significant impact on the future of computing!

    What you'll be doing:

    • Build and develop testbench infrastructure and associated flows for full chip level verification of NVIDIA SoCs

    • Develop, combine, and support Verification IP (VIP) and reusable verification components

    • Develop and improve stimulus frameworks supporting: RTL simulation, Hardware emulation, FGPA prototyping, C-model and hybrid model verification.

    • Work closely with EDA vendors to co-develop and deploy new verification tooling.

    • Collaborate closely with design, architecture, performance, and software teams to align verification infrastructure with evolving product requirements

    • Drive best practices in verification methodology, scalability, performance optimization, and debuggability

    • Support bring-up and debug of system-level test environments and flows

    What we need to see:

    • Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience

    • 8+ years in the following areas: SystemVerilog, UVM, and modern verification methodologies

    • Experience working with testbenches, VIP, and reusable verification frameworks

    • Hands-on experience with RTL simulation and at least one of the following: Hardware emulation, FGPA prototyping, C-model or virtual platform verification.

    • Solid scripting skills in Python or Perl, or similiar for automation and tooling

    • Strong debugging skills across hardware and software boundaries

    Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

    You will also be eligible for equity and benefits.

    Applications for this job will be accepted at least until January 24, 2026.

    This posting is for an existing vacancy.

    NVIDIA uses AI tools in its recruiting processes.

    NVIDIA is committed to fostering a diverse 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.

    Numbers & Facts

    LocationSanta Clara, CA
    IndustryComputer Software
    Company Size10,000 employees or more
    Year Founded1993
    Websitehttp://www.nvidia.com

    About Company

    Visualize your future . . . We Do
    NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

    Skills

    • Architectural Designunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Autonomous Driving Systemsunmatched
    • Best Practicesunmatched
    • Computer Engineeringunmatched
    • Computer Scienceunmatched
    • Debugging Skillsunmatched
    • Electrical Engineeringunmatched
    • Embedded Systemsunmatched
    • FPGAunmatched
    • Hardware Simulationunmatched
    • Hardware Virtualizationunmatched
    • IP (Internet Protocol)unmatched
    • Machine Toolunmatched
    • Model Verificationunmatched
    • Network Operations Centerunmatched
    • Performance Tuning/Optimizationunmatched
    • Perl Programming Languageunmatched
    • Prototypingunmatched
    • Python Programming/Scripting Languageunmatched
    • Roboticsunmatched
    • Scalable System Developmentunmatched
    • Scripting (Scripting Languages)unmatched
    • Simulationunmatched
    • System Testunmatched
    • System-on-a-Chip (SoC)unmatched
    • SystemVerilogunmatched
    • Verification Engineeringunmatched

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