Note: The job is a remote job and is open to candidates in USA. NVIDIA is seeking a Senior Site Reliability Engineer for its Production Engineering team. The role designs and builds automation, reliability, and observability systems for large-scale GPU cloud infrastructure, and owns work across architecture, development, deployment, operations, and continuous improvement.

Responsibilities

• Design and build production-grade automation frameworks, workflows, and data models that reduce manual operational work across provisioning, patching, image deployment, telemetry, and change management at large scale
• Engage in the complete lifecycle of services from deployment to incident response and long-term reliability improvement
• Develop software tools and platforms that integrate across data center systems: DCIM, alerting and observability stacks, compute/storage/networking control planes, and CI/CD pipelines
• Monitor and handle large-scale GPU and Kubernetes production environments; apply advanced observability tooling (Grafana, OpenTelemetry, PagerDuty) to proactively detect, prevent, and resolve incidents
• Build predictive and auto-healing systems by integrating incident analysis insights into automated break-fix and self-remediation solutions
• Participate in on-call rotations and practice sustainable incident response, including blameless postmortems and systematic root-cause-focused improvements
• Scale systems sustainably through code by pushing automation and self-service tools that improve reliability and engineering velocity

Skills

• 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 expertise in Python and/or Go; ability to design, build, and own production-quality tools and services, not just scripts
• Deep knowledge of Kubernetes, Linux systems administration, and/or container technologies; experience handling large-scale bare-metal and cloud infrastructure
• Confirmed 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 practices: metrics, logging, distributed tracing, and alerting design
• Excellent communication skills with the ability to present technical work persuasively across multi-functional teams
• Built and delivered automation or reliability platforms at large scale. You measure impact by machines handled, incidents prevented, or hours of toil eliminated
• You address production problems as an application developer would a build: consider the architecture initially, automate fully, and improve the system before moving on
• You have a strong passion for investing in groundbreaking technology and environments where you learn new systems quickly
• Confirmed ability to debug and optimize code, reduce system-level toil, and drive measurable reliability improvements through software
• Experience with DCIM systems and asset database design and implementation

Benefits

• Equity

Company Overview

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