Senior Storage Systems Engineer: Kubernetes & Automation (Equity)

NVIDIA AI; Illinois; On-site; USD 208,000 - 333,500; Full time

Job summary

NVIDIA AI is seeking a Systems Engineer to design, deploy, and operate solutions on Kubernetes for large-scale storage systems. Ideal candidates should have over 12 years of experience, hands-on expertise in Kubernetes, and the ability to build effective data infrastructure tools.

This role offers a competitive salary starting at 208,000 USD up to 414,000 USD, along with equity and benefits. Applications accepted until June 12, 2026, with NVIDIA committed to a diverse and inclusive work environment.

Qualifications

• 12+ years of practical experience in engineering or related fields.
• Hands-on experience with Kubernetes in production environments.
• Experience in building tools and services for storage and data infrastructure.

Responsibilities

• Design, deploy, and operate solutions on Kubernetes for large-scale storage systems.
• Build automation tools that improve the lifecycle of data systems.
• Support services with activities like capacity planning and deployment automation.

Skills

Kubernetes deployment

Analytical troubleshooting

Infrastructure as code

Python

Education

BS degree in Computer Science or equivalent

Tools

Prometheus

Grafana

Terraform

Job description

NVIDIA AI is seeking a Systems Engineer to design, deploy, and operate solutions on Kubernetes for large-scale storage systems. Ideal candidates should have over 12 years of experience, hands-on expertise in Kubernetes, and the ability to build effective data infrastructure tools.

This role offers a competitive salary starting at 208,000 USD up to 414,000 USD, along with equity and benefits. Applications accepted until June 12, 2026, with NVIDIA committed to a diverse and inclusive work environment.