Senior Architect, AI-assisted Code Development

Nvidia • Santa Clara, CA

98d • $184,000 - $287,500

About The Position

Are you passionate about AI-assisted code development? Are you interested in learning more about computer hardware architecture? NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our chips and systems power applications within artificial intelligence, computer graphics, autonomous vehicles, robotics, gaming, virtual reality, and high-performance computing. We are now looking for a senior software architect with expertise in AI-assisted coding to help improve our internal tool/infrastructure development practices. Come join the NVIDIA hardware architecture team to drive improvements to how we develop simulators, testing frameworks, and other infrastructure, or put differently, how to best apply AI to design our next-generation AI systems!

Requirements

• MSc or PhD in Data Science, Computer Science/Engineering, Electrical Engineering, or equivalent experience.
• 5+ years of industry or research experience.
• Deep knowledge of AI-assisted coding techniques, and experience with AI-coding frameworks like Cursor, Claude Code, GitHub Copilot, or similar.
• Well versed in building MCP agents to help coding tools navigate large code bases.
• Practical experience of AI-assisted code review.
• Deep practical knowledge of LLMs, DL/ML, and Agent development.
• Strong background in implementing AI solutions to solve real-world engineering problems.
• Strong analytical, communication, and interpersonal skills.

Nice To Haves

• Background in computer architecture or hardware development.
• Experience with training/fine-tuning custom models, building multi-agent systems, retrieval augmented generation (RAG) pipelines, and vector databases.
• Hands-on experience with NVIDIA Inference Microservices (NIMs).

Responsibilities

• Serve as an expert in how to make use of AI-assisted code development and code review tools.
• Work with simulator architects to identify how to improve their AI-assisted coding experience by providing more context to the AI-tools with custom MCP-agents.
• Collaborate with hardware architects and simulation architects to explore agentic workflows for automatically generating simulator assets from architecture specifications.
• Collaborate with test development engineers to build AI-based workflows for test generation.
• Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.

Benefits

• Equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree