Senior AI Application Developer - GPU and Soc Architecture Modeling

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Develop and deploy scalable GenAI applications integrated with simulation platforms and architecture workflows for GPU/SOC architecture modeling. Utilize AI tools and LLMs to enhance productivity and collaborate with hardware architects and infrastructure engineers.

What you'd actually do

  1. Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity
  2. Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling
  3. Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains.
  4. Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions.
  5. Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.

Skills

Required

  • C++
  • Python
  • ML frameworks
  • LangChain
  • LangSmith
  • Claude Agent SDK
  • Nemo Agent Toolkit
  • AI agentic tools
  • LLMs
  • multimodal models
  • Computer Architecture
  • modeling

Nice to have

  • GPU/SOC Architecture modeling

What the JD emphasized

  • 5+ years of experience
  • Proficiency in C++, Python and ML frameworks like LangChain, LangSmith, Claude Agent SDK, Nemo Agent Toolkit, or other AI agentic tools
  • Hands-on experience with LLMs (e.g. GPT, Claude, Llama) and multimodal models
  • Background in Computer Architecture with experience in modeling is a plus
  • Strong problem-solving and debugging skills, with a track record of driving issues to closure

Other signals

  • GenAI applications
  • LLMs
  • AI agentic tools
  • architecture modeling