NVIDIA
Senior Software Engineer, AI Infrastructure Solutions
$152K–$242K
US, CA, Santa Clara · Senior · Full-time · Posted Oct 22, 2026
- Experience
- 5+ years delivering production software, infrastructure, platform, or AI solutions.
- Education
- BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
About the job
Build and deploy AI infrastructure and agentic automation that improve GPU validation, engineering workflows, and GPU launch speed and quality.
What you'll do
- Develop agentic AI solutions for silicon bring-up, testing, validation, debugging, and engineering workflows.
- Build scalable AI infrastructure, services, APIs, and reusable platforms; integrate agents with engineering tools, knowledge bases, and data platforms.
- Partner with teams to deliver production solutions and establish evaluation, observability, security, and reliability practices.
What they ask for
- 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++.
- Experience building applications with large language models, AI agents, retrieval-augmented generation, tool use, or workflow orchestration.
Nice to have
- Background in GPU computing, CUDA, GPU architecture, or silicon bring-up processes.
- Familiarity with engineering diagnostics, hardware development workflows, systems software, or production AI operations.
Pay
152,000 USD - 241,500 USD base salary
Tools
Python, C/C++, CUDA
AI focus
Build agentic AI and AI infrastructure for engineering automation, including silicon bring-up, testing, validation, debugging, and GPU workflows; establish evaluation, observability, security, and reliability practices.
Model-written summary · the original posting is authoritative