Senior AI Infrastructure Software Engineer
Nvidia · Shanghai, China
About this role
Nvidia is hiring a senior-level Infrastructure Engineer in the software engineering function based in Shanghai, China. The posting calls out experience with Python, JavaScript, SQL, Kubernetes and roughly 5+ years of relevant work. Listed education preference: a master's degree or equivalent.
- Role
- Infrastructure Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Shanghai, China
- Experience
- 5+ years
- Education
- Master's degree
- Posted
- Apr 20, 2026
More roles at Nvidia
Job description
from Nvidia careersNVIDIA has been transforming accelerated computing with innovation that’s fueled by great technology—and amazing people. As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of the chip industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions.
You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What you'll be doing:
Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools.
Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale.
Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence.
This is an excerpt. Read the full job description on Nvidia careers →