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!What you’ll be doing: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.What we need to see: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.Ways to stand out from the crowd: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).NVIDIA engineers the most advanced chips, systems, and software for the AI factories of the future and is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and ambitious people in the world working for us. Are you a creative and autonomous engineer who wants to make a difference? If so, we want to hear from you! #LI-HybridYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 22, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.