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# Senior AI Application Developer - GPU and SOC...

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Engineering, Software Debugging, Python (Programming Language), Tensorflow, Large Language Models, Generative AI, Information Technology, GPT
- **Published:** June 25, 2026
- **Apply:** https://www.juju.com/job/00000000gav89n

## About the Role

+ BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 5+ years of experience in related areas

 + 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 collaboration skills with design and engineering teams

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

## Description

NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPU's and SOC's. In this position, you will be working with other world-class architects on enabling state-of-the-art GenAI applications integrated with simulation platform and architecture teams' process workflows.

What you'll be doing:

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

 + Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling

 + Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains.

 + Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions.

 + Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.


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