• Senior GPU Verification Architect

    NVIDIA (Santa Clara, CA)


    Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

    What you’ll be doing:

    + Develop and verify GPU/ SOC architectures while integrating GenAI applications to enhance overall productivity and streamline workflows.

    + Define, build, and drive the verification test plan for specific GPU products to ensure outstanding performance

    + Ensure reliable execution of the defined test plan, triage failures, and successfully implement fixes to drive bugs to closure

    + Guide the improvement of the simulation platform and expand other resources to support future GPU/ SOC architectures

    + Build and evaluate prototypes using LLMs and multimodal models

    + Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity

    + Build full-stack applications and ML ops pipelines that embed GenAI into architectural workflows

    + Ensure compliance with data privacy, IP protection, and design standards

    What we need to see:

    + Completed a MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 7+ years of experience in related areas

    + Background in Computer Architecture with experience in modeling

    + Proficiency in C++, Python and ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.

    + Hands-on experience with LLMs (e.g. GPT, Claude, Llama) and multimodal models

    + Strong collaboration skills with design and engineering teams

    + Strong problem-solving and debugging skills, with a track record of driving issues to closure

     

    NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

     

    Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

     

    You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

     

    Applications for this job will be accepted at least until August 30, 2025.

     

    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.