Principal Kubernetes & AI Infrastructure Engineer

NVIDIA; Durham (NC); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking experienced software engineers with Kubernetes experience to help scale up AI infrastructure. You will work on production systems enabling large scalable GPU clusters for AI workloads, focusing on scheduling GPU resources on Kubernetes and health monitoring.

We value deep systems programming expertise (Go, Python), strong communication, and a track record of delivering reliable, high-performance infrastructure.

Qualifications

• 15+ years in a similar role with impact on large-scale production systems.
• Software engineering experience with Kubernetes APIs and frameworks, not just cluster ops.
• Solid knowledge of data structures, algorithms and systems programming languages (Go, Python).
• Bachelor’s degree or equivalent in CS, Engineering, Physics, Mathematics or related field.

Responsibilities

• Develop and operate production GPU clusters for AI workloads on DGX Cloud.
• Implement monitoring and health management to ensure reliability, availability and scalability.
• Collaborate across NVIDIA teams to improve services and incident response.

Skills

Kubernetes

Go

Python

Data structures & algorithms

Communication skills

Distributed systems

Education

BS in CS/Engineering/Physics/Mathematics

Tools

Slurm

Bright Cluster Manager

Job description

NVIDIA is seeking experienced software engineers with Kubernetes experience to help scale up AI infrastructure. You will work on production systems enabling large scalable GPU clusters for AI workloads, focusing on scheduling GPU resources on Kubernetes and health monitoring.

We value deep systems programming expertise (Go, Python), strong communication, and a track record of delivering reliable, high-performance infrastructure.