Hybrid Senior AI Application Developer – GPU, SOC Architecture Modeling

at NVIDIA

• Job title: Senior AI Application Developer – GPU, SOC Architecture Modeling
• Job type: Full Time
• Experience level: Senior
• Salary: $152,000 - $287,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Santa Clara, United States

About the role

• Senior AI Application Developer at NVIDIA developing scalable GenAI applications for GPU and SOC architecture modeling. Collaborating with teams to enhance workflows using state-of-the-art AI tools and techniques.

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 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
• 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