NVIDIA—Senior Staff Site Reliability Engineer – Compute Platform

Job description

Description: NVIDIA is seeking a Senior Staff SRE to build and operate reliable, scalable compute platforms that support global engineering workloads. This role spans Kubernetes, KubeVirt, bare-metal infrastructure, automation, observability, and AI-enabled operations. Join a team that solves complex infrastructure challenges, builds durable automation, and improves the reliability and operational experience of critical compute services. What you’ll be doing: - Build, operate, and improve large-scale Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms, with a focus on performance, capacity, reliability, and operational scale. - Lead bare-metal provisioning and lifecycle management in data centers, including PXE boot, DHCP, DNS, OS provisioning, hardware validation, and fleet automation. - Develop automation, self-service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data. - Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems. - Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation. What we need to see: - BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10+ years operating production infrastructure or platform services. - Strong expertise in Kubernetes administration, KubeVirt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges. - Experience deploying and operating bare-metal infrastructure in a data-center environment, including provisioning, networking, operating-system lifecycle management, and hardware automation. - Proficiency in Python, Go, or a comparable programming language, with experience building RESTful services and integrating infrastructure APIs. - Experience with Infrastructure as Code and automation tools such as Terraform, Ansible, Chef, or Puppet, along with a solid understanding of TCP/IP networking and infrastructure security. - Strong SRE and observability experience, including SLIs, SLOs, error budgets, incident management, monitoring, logging, tracing, and tools such as OpenTelemetry, Prometheus, Grafana, ELK Stack, or Splunk. - Clear written and interpersonal communication skills, with a record of delivering practical, scalable solutions to complex technical problems. Ways to stand out from the crowd: - Experience operating HPC, AI, GPU-accelerated, or general-purpose bare-metal compute infrastructure, including GPU-enabled Kubernetes or KubeVirt clusters. - Expertise with VMware vSphere, Red Hat OpenShift, KVM, Firecracker, OpenStack, or Nutanix AHV. - Experience applying generative AI or agentic workflows to improve infrastructure diagnostics, reduce operational toil, and accelerate incident resolution. - Experience building secure, integrated operational platforms using APIs, RBAC, service accounts, secrets management, audit controls, workflow orchestration, and infrastructure or incident-management systems. - Demonstrated delivery of complex, high-impact infrastructure projects.