Senior AI Application Developer - GPU and SOC Architecture Modeling
$152k - $288k • Remote • US, CA, Santa Clara
Posted 4d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
NVIDIA is seeking talented individuals to join our Architecture Modeling group, focusing on GPU and SOC architecture. In this role, you will collaborate with world-class architects to integrate state-of-the-art Generative AI applications into simulation platforms and engineering workflows. You will develop and deploy scalable GenAI applications, leverage AI tools to accelerate modeling, and work with hardware architects to design and deploy AI-based solutions tailored to specific problem domains. Additionally, you will collaborate with infrastructure engineers to enhance automated workflows using LLMs and research emerging AI technologies to maintain a competitive edge.
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.
Requirements
- BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 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 collaboration skills with design and engineering teams.
- Strong problem-solving and debugging skills, with a track record of driving issues to closure.
Benefits
- Equity
- Benefits