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Senior AI Application Developer - GPU and SOC Architecture Modeling

NVIDIA
June 23, 2026
Full-time
On-site
Santa Clara, California, United States
$152,000 - $287,500 USD yearly
EDA Jobs, Level - Senior

Job Title

Senior AI Application Developer - GPU and SOC Architecture Modeling

Role Summary

Join NVIDIA's Architecture Modeling group to develop and deploy GenAI applications that accelerate GPU and SoC architecture modeling and simulation workflows. You will work with hardware architects, simulation teams, and infrastructure engineers to integrate AI tools into design and modeling processes.

Experience Level

Senior β€” requires 5+ years of relevant industry experience.

Responsibilities

Primary responsibilities include building scalable AI applications, integrating LLMs into engineering workflows, and collaborating with cross-functional teams to improve modeling productivity.

  • Design, develop, and deploy scalable GenAI applications integrated with architecture simulation workflows.
  • Apply state-of-the-art AI tools and techniques to accelerate GPU/SoC architecture modeling.
  • Collaborate with hardware architects to tailor AI solutions for specific architecture and modeling problems.
  • Work with infrastructure teams to automate workflows and establish best practices for using LLMs and agentic tools.
  • Research and evaluate emerging AI technologies to improve development ecosystems and tooling.

Requirements

Required technical skills and attributes.

  • Proficiency in C++ and Python.
  • Practical experience with ML frameworks and agent toolkits such as LangChain, LangSmith, Claude Agent SDK, Nemo Agent Toolkit, or similar.
  • Hands-on experience with LLMs (e.g., GPT, Claude, Llama) and multimodal models.
  • Strong collaboration skills with design and engineering teams; ability to drive issues to closure.
  • Strong problem-solving and debugging skills for production-grade systems.
  • Nice-to-have: background in computer architecture and experience with architecture modeling or simulation tools.

Education Requirements

BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field β€” or equivalent practical experience. The posting specifies 5+ years of related experience as an alternative to degree requirements.


About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.

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Date Posted: 2026-06-21