Senior SRE - GPU Cloud Reliability & Auto-Healing

NVIDIA Corporation; United States; Remote; USD 168,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA leads in AI, HPC, and Accelerated Computing. Our GPU cloud infra powers the next generation of AI. We design, build, and maintain large-scale GPU infrastructure with automation for reliability and efficiency.

The Senior Site Reliability Engineer will build self-healing systems and IaC pipelines, monitor GPU/Kubernetes environments, and drive reliability improvements across thousands of machines. Equity and benefits are available.

Qualifications

• 6+ years of experience in SRE, production engineering, or infrastructure software engineering supporting large-scale, highly available environments.
• BS/BTech in Computer Science, Engineering, Physics, Mathematics, or equivalent experience.
• Strong software development skills with Python and/or Go; able to design, build, and own production-quality tools and services.
• Deep knowledge of Kubernetes, Linux systems administration, and/or container technologies; experience with large-scale bare-metal and cloud infrastructure.
• Experience building data center automation tools covering OS provisioning, image deployment, patching, packaging, and configuration management.
• Experience with CI/CD tooling and infrastructure-as-code workflows.
• Strong understanding of observability: metrics, logging, distributed tracing, and alerting design.
• Excellent communication skills with the ability to present technical work across multi-functional teams.

Responsibilities

• Design and build production-grade automation frameworks, workflows, and data models for provisioning, patching, image deployment, telemetry, and change management at large scale.
• Engage in the complete lifecycle of services from deployment to incident response and reliability improvements.
• Develop software tools and platforms that integrate across data center systems, including DCIM, observability stacks, control planes, and CI/CD pipelines.
• Monitor and operate large-scale GPU and Kubernetes environments; apply observability tooling to detect and resolve incidents.
• Build auto-healing systems by integrating incident analysis into automated break-fix and self-remediation solutions.
• Participate in on-call rotations and conduct blameless postmortems and root-cause-focused improvements.
• Scale systems through automation and self-service tooling to improve reliability and velocity.

Skills

Python

Go

Kubernetes

Linux

Observability

Education

BS/BTech in Computer Science, Engineering, Physics, Mathematics, or equivalent

Tools

CI/CD tooling

Infrastructure as Code

DCIM

Job description

NVIDIA leads in AI, HPC, and Accelerated Computing. Our GPU cloud infra powers the next generation of AI. We design, build, and maintain large-scale GPU infrastructure with automation for reliability and efficiency.

The Senior Site Reliability Engineer will build self-healing systems and IaC pipelines, monitor GPU/Kubernetes environments, and drive reliability improvements across thousands of machines. Equity and benefits are available.