Senior GPU and HPC Infrastructure Engineer – DGX Cloud

Responsibilities

• Contribute to a platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers
• Build end-to-end automation of datacenter operations, break/fix, and lifecycle management for large‑scale Machine Learning systems
• Implement monitoring and health management capabilities that enable reliability, availability, and scalability of GPU assets
• Manage NVLINK topography across GPU clusters
• Build automated test infrastructure to qualify distributed systems for operation
• Collaborate with engineering teams to ensure software integration from hardware to AI training applications

Requirements

• 10+ years of software engineering experience on large‑scale production systems
• BS in Computer Science, Engineering, Physics, Mathematics, or comparable degree or equivalent experience
• Expert-level knowledge of a systems programming language (Go, Python)
• Expert-level knowledge of Linux system administration and management
• Understanding of cluster management systems (Kubernetes, SLURM)
• Understanding of performance, security, and reliability in complex distributed systems
• Familiarity with system‑level architecture, data synchronization, fault tolerance, and state management

Core Competencies

Demonstrates expert-level knowledge in systems programming languages such as Go and Python, along with extensive experience in Linux system administration and management. Proficient in building automated solutions for large-scale Machine Learning systems and managing GPU asset provisioning and lifecycle management across cloud environments.

Certifications & Qualifications

• BS in Computer Science
• BS in Engineering
• BS in Physics
• BS in Mathematics