Description
Join NVIDIA's software infrastructure team to design, build, and improve software systems for rack, networking, and datacenter provisioning and management. As a Senior Software Engineer - Datacenter Systems, you will work with innovative technology supporting large-scale GPU clusters connected through NVLink and InfiniBand. These clusters run today's fastest HPC and AI workloads.
Your responsibilities will include:
Developing and managing software for hands-off datacenter provisioning and lifecycle management, including rack installation, bare-metal networking configuration, and cluster scaling. Building and implementing scalable release train architectures that modularize systems and enable independent, reliable release cycles. Defining, monitoring, and enforcing Service Level Indicators (SLI), Objectives (SLO), and Agreements (SLA) for core infrastructure services to ensure high availability and reliability. Developing intuitive user interfaces (UIs) and APIs for internal provisioning and management tools, making cluster operations and visibility more straightforward. Leading the technical requirement definition process, clearly articulating requirements, inputs, outputs, and quantifiable outcomes for new infrastructure features and system improvements. Building and maintaining CI/CD pipelines that support fast, reliable integration and deployment across complex systems. Building tools and automation workflows that simplify software releases, manage dependencies, and increase reliability. Automating software updates and monitoring system health to improve reliability and availability. Resolving operational issues across distributed infrastructure as well as managing firmware and software rollouts to minimize downtime and ensure consistency. Working with global engineering teams to align infrastructure tools and support project achievements.
We're looking for someone with:
A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field or equivalent experience. 8+ years of experience managing infrastructure or systems in high-performance or distributed environments. Expertise in software programming using Python, Rust, C++, and Shell or similar high-level languages. Practical experience with modern CI/CD tools and infrastructure-as-code frameworks such as Jenkins, GitLab, Ansible, GitOps, and Kubernetes. Ability to use AI coding tools and agents effectively to increase your efficiency. Strong understanding of Linux, networking, and distributed system building. Ability to break down monolithic systems into scalable, loosely coupled components. Excellent communication and collaboration skills across multi-functional areas.
If you have experience implementing SRE practices, proficiency with observability tools, experience crafting user-facing components, or experience with cluster management tools, you'll stand out from the crowd.