NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by excellent technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you'll be doing:
Lead the technical strategy and roadmap for large-scale, multi-functional SRE initiatives that boost reliability, scalability, and developer efficiency throughout enterprise systems.
Design and build resilient distributed systems that power NVIDIA's next-generation AI-powered enterprise products and services,
including transforming legacy applications and database systems into modern and scalable architectures.
Drive automation and observability improvements, using metrics and analytics — including AI workload quality signals and model performance telemetry — to improve performance, reliability, and efficiency.
Build LLM-aware monitoring and autonomous incident response pipelines to reduce toil, accelerate MTTR, and evolve on-call operations toward AI-assisted remediation.
Work together with Cloud, Platform, Security, and AI/ML groups to develop modern SRE elements and AI-native platform features that guarantee high availability and secure operations.
Analyze and run complex systems — including Kubernetes-scale and AI/ML infrastructure challenges — championing standards in system design and incident management.
Drive AI-assisted and AI-first engineering practices across the organization, mentoring engineers to adopt agentic development workflows, coding agents,