Software Engineer - Kubernetes and AI Infrastructure

NVIDIA is seeking experienced software engineers to join its DGX Cloud team, focusing on scaling AI infrastructure using Kubernetes. You will work on production systems that enable large-scale GPU clusters for various AI workloads, developing custom software for GPU resource scheduling on Kubernetes.

Responsibilities:

• Develop and implement monitoring and health management capabilities for industry-leading reliability, availability, and scalability of GPU assets.
• Work with cross-functional teams to ensure production AI clusters run reliably and consistently with maximum performance.
• Evaluate system failures and improve services based on a well-defined incident management process.

Requirements:

• 5+ years of experience in a software engineering role within a highly technical organization.
• Direct experience with Kubernetes APIs and frameworks, beyond just operating a cluster.
• Strong communication skills and ability to work with multi-functional teams.
• Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or equivalent experience.
• Proficiency in a systems programming language (Go, Python) and understanding of data structures and algorithms.

Preferred qualifications:

• Technical competency in managing and automating large-scale distributed systems independent of cloud providers.
• Advanced hands-on experience with cluster management systems (Kubernetes, Slurm, Bright Cluster Manager).
• Proven operational excellence in maintaining reliable and performant AI infrastructure.

NVIDIA offers a competitive salary range of $152,000 - $287,500, depending on location, experience, and level. You will also be eligible for equity and benefits.