Senior GPU and HPC Infrastructure Engineer – DGX Cloud

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

📋 Description

• Play a vital role in a platform that streamlines GPU asset provisioning, configuration, and lifecycle management across various cloud providers.

• Develop comprehensive automation for datacenter operations, including break/fix processes and lifecycle management for extensive Machine Learning systems.

• Establish monitoring and health management features that enhance the reliability, availability, and scalability of GPU assets.

• Oversee NVLINK topology across GPU clusters.

• Create automated testing infrastructure to validate the operational capability of distributed systems.

• Work in collaboration with engineering teams to ensure seamless software integration from hardware to AI training applications.

⛳️ Requirements

• Over 10 years of software engineering experience working with large-scale production systems.

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

• Proficient knowledge of a systems programming language, such as Go or Python.

• Advanced understanding of Linux system administration and management.

• Familiarity with cluster management systems like Kubernetes and SLURM.

• Knowledge of performance, security, and reliability within complex distributed systems.

• Experience with system-level architecture, data synchronization, fault tolerance, and state management.

🏝️ Benefits

• Eligible for equity and benefits.