Senior Kubernetes & GPU AI Infra Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring experienced software engineers with Kubernetes experience to help scale its AI infrastructure. You will join a DGX Cloud team building production systems that enable large GPU clusters for a variety of AI workloads, including scheduling GPU resources on Kubernetes and implementing robust monitoring.

The role requires 8+ years in a similar role, a BS in CS, Engineering, Physics, or math, and hands-on experience with Go or Python and Kubernetes APIs.

Qualifications

• 8+ years in a similar role with production-scale systems.
• BS in CS, Engineering, Physics, Mathematics or equivalent.
• Experience developing with Kubernetes APIs and frameworks.
• Strong communication and cross-functional collaboration.
• Proficiency in Go or Python for systems programming.

Responsibilities

• Join a DGX Cloud team responsible for production systems enabling large GPU clusters.
• Develop and monitor scheduling of GPU resources on Kubernetes.
• Improve reliability, availability and performance of AI infrastructure.

Skills

Kubernetes experience

Go

Python

Software engineering

Strong communication

Education

BS in Computer Science, Engineering, Physics, Mathematics or comparable Degree

Tools

Kubernetes APIs

Go

Python

Slurm

Bright Cluster Manager

Job description

NVIDIA is hiring experienced software engineers with Kubernetes experience to help scale its AI infrastructure. You will join a DGX Cloud team building production systems that enable large GPU clusters for a variety of AI workloads, including scheduling GPU resources on Kubernetes and implementing robust monitoring.

The role requires 8+ years in a similar role, a BS in CS, Engineering, Physics, or math, and hands-on experience with Go or Python and Kubernetes APIs.