Senior Software Engineer - Topography

NVIDIA is a technology company advancing artificial intelligence, high-performance computing, and visualization. The Senior Software Engineer will build and maintain a Kubernetes-native platform that collects, aggregates, and normalizes topology data for provisioning systems and workload schedulers, while contributing to the Topograph open-source project and optimizing GPU communication and scheduling capabilities.

Responsibilities:

• Building a system that gathers topology related information from multiple sources
• Taking data collected to aggregate and normalize the data to make it available for provisioning systems and workload schedulers
• Direct contributor in a critical open-source project, Topograph
• Interacting with the latest and greatest hardware to ensure new product launches have the most efficient scheduling capabilities

Requirements:

• At least 8 years of relevant experience
• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent experience
• Strong production engineering experience in Go or another systems language
• Experience with distributed systems, Kubernetes, Slurm/Slinky, Linux, containers, APIs, and CI
• Ability to design clean interfaces between discovery logic, data models, and scheduler output
• Familiarity with networking, cluster topology, cloud infrastructure, or large-scale compute systems
• Excellent testing, debugging, documentation, and code review habits:
• Experience with GPU clusters, NVLink, InfiniBand, Ethernet fabrics, or HPC
• Hands-on work with Kubernetes scheduling, Slurm/Slinky topology, DRA, Kueue, Slinky, or device plugins
• Experience integrating with cloud provider topology APIs or cluster metadata systems