Senior Software Engineer - Datacenter Systems

NVIDIA has been at the forefront of innovation in computer graphics and accelerated computing for over 25 years. They are seeking a Senior Software Engineer - Datacenter Systems to join their software infrastructure team, focusing on designing and improving software systems for datacenter provisioning and management. The role involves developing scalable architectures and ensuring high availability of core infrastructure services.

Responsibilities:

• Develop and manage software for hands-off datacenter provisioning and lifecycle management, including rack installation, bare-metal networking configuration, and cluster scaling
• Build and implement scalable release train architectures that modularize systems and enable independent, reliable release cycles
• Define, monitor, and enforce Service Level Indicators (SLI), Objectives (SLO), and Agreements (SLA) for core infrastructure services to ensure high availability and reliability
• Develop intuitive user interfaces (UIs) and APIs for internal provisioning and management tools, making cluster operations and visibility more straightforward
• Lead the technical requirement definition process, clearly articulating requirements, inputs, outputs, and quantifiable outcomes for new infrastructure features and system improvements
• Build and maintain CI/CD pipelines that support fast, reliable integration and deployment across complex systems
• Build tools and automation workflows that simplify software releases, manage dependencies, and increase reliability
• Automate software updates and monitor system health to improve reliability and availability
• Resolve operational issues across distributed infrastructure as well as manage firmware and software rollouts to minimize downtime and ensure consistency
• Work with global engineering teams to align infrastructure tools and support project achievements

Requirements:

• BS or MS 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
• Demonstrated experience implementing SRE practices, specifically defining and tracking SLIs, SLOs, and SLAs
• Proficiency with observability tools such as Prometheus and Grafana for system health monitoring and analysis
• Experience crafting user-facing components (front-end or CLI) for infrastructure management tools
• Experience with cluster management tools like Slurm as well as familiarity with NVIDIA DGX systems and GPU-based clusters such as GB200, GB300, and VR-NVL72
• Consistent track record leading DevOps process improvements and drive team efficiency