Staff Site Reliability Engineer - AI Platform Runtime

Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline to design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. This is a highly specialized discipline which demands knowledge across different systems, networking, coding, database, capacity management, continuous delivery and deployment, open source cloud enabling technologies like Kubernetes and Public Cloud. SRE at NVIDIA ensures that our internal and external facing services run maximum reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance. SRE is also a mindset and a set of engineering approaches to running better production systems and optimizations. Much of our software development focuses on building components to eliminate manual work through automation, performance tuning and growing efficiency of production systems. As SREs are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to tackle a broad spectrum of problems. Practices such as limiting time spent on reactive operational work, blameless postmortems and proactive identification of potential outages factor into iterative improvement that is key to both product quality and interesting dynamic day-to-day work. SRE's culture of diversity, intellectual curiosity, problem solving and openness is important to our success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow. What you’ll be doing: Lead the technical strategy and roadmap for large-scale, cross-functional SRE initiatives that improve reliability, scalability, and developer productivity across enterprise systems. Design, and build resilient distributed systems that power NVIDIA’s next-generation AI-driven enterprise products and services. Architect and develop AI Agents, AI Skills to accelerate platform operations Drive automation and observability improvements, using metrics and analytics to enhance performance, reliability, and efficiency. Collaborate across Cloud, Platform, Security, and AI/ML teams to implement modern SRE components that ensure high availability and secure operations. Analyze and troubleshoot complex systems, championing best practices in system design, incident management, and postmortem analysis. Mentor and influence engineers across teams, fostering technical excellence and a culture of reliability engineering. What we need to see: 10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles. BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience Strong proficiency in programming languages such as Python, Typescript, JavaScript, or Go, with a focus on automation and infrastructure-as-code. Experience with infrastructure-as-code such as AWS CDK, AWS CloudFormation, Terraform or CrossPlane Solid understanding of OpenTelemetry or other Observability implementation at scale. Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP). Outstanding problem-solving, communication, and teamwork skills, with the ability to influence across technical and interpersonal boundaries. Ways to stand out from the crowd: Passion for and experience with Public Cloud or large-scale automation systems. Demonstrated ability to drive technical strategy and deliver measurable reliability outcomes in complex