This is a fully remote position, open to applicants in California.

📋 Description

• Play a vital role in the DGX Cloud team that manages production systems facilitating large-scale GPU clusters for AI applications.

• Create tailored software solutions for scheduling GPU resources on Kubernetes.

• Establish monitoring and health-management features to ensure the reliability, availability, and scalability of GPU resources.

• Leverage data streams from GPU hardware diagnostics, cluster telemetry, and network telemetry.

• Work collaboratively with various teams at NVIDIA to guarantee that production AI clusters operate reliably, consistently, and at optimal performance levels.

• Analyze system failures and enhance services through an established incident-management framework.

⛳️ Requirements

• Proven experience in a software engineering position within a technical organization, showcasing tangible results from your contributions.

• Proficiency in software development involving Kubernetes APIs and frameworks, rather than merely managing a cluster.

• Exceptional communication skills with the ability to collaborate with multifunctional teams, principals, architects, and across different organizational boundaries and regions.

• Over 5 years of experience in a similar role, specifically with large-scale production systems.

• Familiarity with standard software engineering principles, tools, and methodologies.

• A Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related field, or equivalent experience.

• Technical expertise in a systems programming language such as Go or Python.

• Strong grasp of data structures and algorithms.

• Extensive hands-on experience and comprehensive knowledge of cluster management systems like Kubernetes, Slurm, or Bright Cluster Manager.

• Demonstrated operational excellence in maintaining reliable and high-performing AI infrastructure.