This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Creating and building a highly distributed and scalable platform designed to identify, diagnose, and remediate underperforming GPU assets.

• Collaborating with various teams within NVIDIA to guarantee that production AI clusters operate reliably, consistently, and at peak performance.

• Assessing system failures and enhancing services according to a clearly defined incident management process.

• Joining a DGX Cloud team that oversees production systems facilitating large-scale GPU clusters for diverse AI workloads.

⛳️ Requirements

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

• Proven experience in a software engineering position within a highly technical organization, showcasing the impact of your contributions.

• Technical expertise, including proficiency in a systems programming language (Go, Python), along with a solid grasp of data structures and algorithms.

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

• Highly driven with excellent communication skills, capable of successfully collaborating with cross-functional teams, principles, and architects while effectively coordinating across organizational boundaries and locations.