AI Cluster Infra Engineer - Performance & Innovation

Lenovo; North Carolina; On-site; USD 110,000 - 160,000; Full time

Job summary

Lenovo seeks an experienced engineer to design and validate AI cluster infrastructure solutions. You will develop methods, processes, and tools for deployment and performance tuning, collaborating with cross-functional teams on customer engagements.

You will contribute to features that improve AI cluster performance and manageability, leveraging ML frameworks and a proactive, innovative mindset to drive scalable, reliable systems across data centers.

Qualifications

• BS/MS in Computer Science, Computer Engineering or related field.
• 2+ years design and implementation experience for datacenter hardware and software systems.
• Strong programming skills in C/C++, Python or Go.
• Understanding of Machine Learning and Deep Learning concepts.
• Experience with ML frameworks such as PyTorch, LangChain, LangGraph, Autogen.
• Excellent communication and leadership abilities.
• Ability to quickly learn new technologies and think creatively.

Responsibilities

• Design and validate AI cluster infrastructure management solutions.
• Design and develop methodologies, processes, software frameworks and tools for AI cluster deployment and end-to-end performance evaluation and tuning.
• Design and develop hardware and software product features that improve AI cluster solutions in performance, manageability, and serviceability.
• Collaborate with cross-functional teams and contribute to business projects and customer engagements.

Skills

C/C++

Python

Go

Shell scripting

Machine Learning

PyTorch

LangChain

LangGraph

Autogen

AI infrastructure

Leadership

Education

BS/MS in CS/CE

Job description

Lenovo seeks an experienced engineer to design and validate AI cluster infrastructure solutions. You will develop methods, processes, and tools for deployment and performance tuning, collaborating with cross-functional teams on customer engagements.

You will contribute to features that improve AI cluster performance and manageability, leveraging ML frameworks and a proactive, innovative mindset to drive scalable, reliable systems across data centers.