Senior Site Reliability Engineer

September 2

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• NVIDIA DGX Cloud delivering a fully managed AI platform on major cloud providers • Build, implement and support operational and reliability aspects of large-scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting • Define SLOs/SLIs, monitor error budgets, and streamline reporting • Support services before launch through system creation consulting, developing software tools, platforms and frameworks, capacity management, and launch reviews • Maintain services once live by measuring and monitoring availability, latency and overall system health • Operate and optimize GPU workloads across AWS, GCP, Azure, OCI, and private clouds • Scale systems sustainably through automation and evolve systems to improve reliability and velocity • Lead triage and root-cause analysis of high-severity incidents, perform blameless postmortems • Participate in on-call rotation to support production services

🎯 Requirements

• BS in Computer Science or related technical field, or equivalent experience • 10+ years of experience operating production services • Expert-level knowledge of Kubernetes administration, containerization, and microservices architecture • Experience with infrastructure automation tools (e.g., Terraform, Ansible, Chef, Puppet) • Proficiency in at least one high-level programming language (e.g., Python, Go) • In-depth knowledge of Linux operating systems, networking fundamentals (TCP/IP), and cloud security standards • Proficient knowledge of SRE principles, encompassing SLOs, SLIs, error budgets, and incident handling • Experience building and operating comprehensive observability stacks (OpenTelemetry, Prometheus, Grafana, ELK Stack, Lightstep, Splunk, etc.) • Experience operating GPU workloads and GPU-accelerated clusters (KubeVirt experience is a plus)