Senior GPU Infrastructure Engineer

Job Summary

To scale up AI infrastructure, the full-time Senior GPU Infrastructure Engineer will contribute to automating GPU asset provisioning and lifecycle management, implementing monitoring capabilities for reliability, and developing software for managing NVLINK topography across GPU clusters, with opportunities for remote work.

Key responsibilities

• Contribute to the automation of datacenter operations and lifecycle management for large-scale Machine Learning systems
• Implement monitoring and health management capabilities to ensure reliability and scalability of GPU assets
• Develop software to manage NVLINK topography across GPU clusters and build automated test infrastructure for distributed systems

Required qualifications

• 10+ years of software engineering experience on large-scale production systems
• BS in Computer Science, Engineering, Physics, Mathematics, or equivalent experience
• Expert level knowledge of systems programming languages (Go, Python) and Linux system administration
• Understanding of cluster management systems (Kubernetes, SLURM) and complex distributed systems
• Proficiency in architecting and managing large-scale distributed systems and knowledge of datacenter operations