Nvidia Senior GPU Verification Architect 

United States, California 

5045562

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