HPC and AI Cluster Engineer
Nvidia · Shanghai, China
About this role
Nvidia is hiring a mid-level AI Infrastructure Engineer in the machine learning function based in Shanghai, China. The posting calls out experience with Deep Learning, Python, Bash, CUDA and roughly 3+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- AI Infrastructure Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Shanghai, China
- Experience
- 3+ years
- Education
- Bachelor's degree
- Posted
- Apr 20, 2026
More roles at Nvidia
Job description
from Nvidia careersNVIDIA is looking for a HPC and AI Cluster Engineer to join the Networking clusters solutions HPC/AI Infrastructure team. We are building supercomputers and AI clusters based on groundbreaking technologies. We are looking for a cluster engineer to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing
You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. Does this sound like you? If so, we would love to hear from you!
What you will be doing:
Deploy, manage and maintain large scale HPC/AI clusters
Managing Linux job/workload schedules and orchestration tools
Support and maintain continuous integration and delivery pipelines
Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level
Supporting Research & Development activities and engaging in POCs for future improvements
What we need to see:
Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience
This is an excerpt. Read the full job description on Nvidia careers →