Senior AI Application Developer - GPU and SOC Architecture Modeling

NVIDIA • Santa Clara, CA

2d

About The Position

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! 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.

Requirements

• BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 3+ 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
• Strong collaboration skills with design and engineering teams
• Strong problem-solving and debugging skills, with a track record of driving issues to closure

Nice To Haves

• Background in Computer Architecture with experience in modeling is a plus

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level