Senior Software Engineer, AI Infrastructure Solutions

Responsibilities

• Build and deliver agentic AI solutions—autonomous systems that reason, plan, and take actions. These automate silicon bring-up, test and validation frameworks, debugging, and engineering workflows to speed up GPU launches.
• Build scalable AI infrastructure, services, APIs, and reusable platforms that enable teams across NVIDIA to develop and deploy AI-powered applications.
• Integrate AI agents with engineering tools, knowledge bases, data platforms, and existing business processes to build end-to-end intelligent workflows.
• Partner with multi-functional teams across Modular Diagnostics and adjacent organizations to identify high-impact use cases, define requirements, develop prototypes, and deploy production-ready solutions.
• Establish evaluation, observability, security, and reliability practices for AI systems to ensure solutions perform at scale and meet enterprise standards.
• Drive projects from concept through adoption, measure their impact against clear success criteria, and continuously improve their efficiency.
• What we need to see
• BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 5+ years delivering production software, infrastructure, platform, or AI solutions.
• Strong programming skills in Python and C/C++.

Languages