Senior Staff Site Reliability Engineer

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and talented people. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

We are seeking a Senior Staff Software Engineer to build the runtime foundation for NVIDIA’s enterprise AI platforms. You will provide technical leadership for systems that deploy, operate, and scale AI applications, inference services, and databases across cloud and on-premises environments.

What you'll be doing:

- Define the architecture and technical roadmap for a scalable enterprise AI runtime platform.

- Design Kubernetes-based systems for deploying, running, and scaling AI applications, inference services, and databases.

- Build control-plane services, APIs, operators, and automation for workload provisioning, configuration, upgrades, and recovery.

- Develop runtime capabilities for GPU scheduling, autoscaling, load balancing, and rate limiting.

- Improve the performance, availability, and developer experience of large-scale AI inference services.

- Build and automate relational and vector database services, including provisioning, scaling, backup, and failover.

- Establish secure and consistent application lifecycle-management patterns spanning cloud-based and on-premises platforms.

- Develop observability tools for monitoring, profiling, and debugging applications, GPU resources, inference workloads, and databases.

- Lead technical initiatives across multiple functions, mentor engineers, and establish standards for the platform’s long-term evolution.

What we need to see:

- BS, MS, or PhD in Computer Science, Engineering, or a related field—or equivalent experience.

- 8+ years of software engineering experience building distributed systems, cloud infrastructure, database platforms, or large-scale backend services.