Senior Software Engineer - DGX Cloud

NVIDIA • Santa Clara, CA

1d

About The Position

Join NVIDIA’s team of engineers scaling the AI infrastructure that powers cutting-edge data science applications. The team addresses complex challenges across datacenter hardware, networking, distributed systems, and software deployment, collaborating across NVIDIA to design and deliver infrastructure solutions. The role contributes to a platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers, and helps build reliable, available, and scalable infrastructure for large-scale machine learning systems.

Requirements

• 12+ years of experience in a similar role working on large-scale production systems.
• BS in Computer Science, Engineering, Physics, Mathematics, or a comparable degree, or equivalent experience.
• Expert-level knowledge of a systems programming language such as Go, Python, and/or Rust.
• Solid understanding of data structures and algorithms.
• Strong background in Linux system administration and management.
• Deep knowledge of container orchestration platforms such as Kubernetes and/or SLURM.
• Understanding of performance, security, and reliability in complex distributed systems.
• Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.

Nice To Haves

• Proficiency in designing and building widespread distributed networks.
• Experience managing large-scale distributed systems independently of cloud providers.
• Extensive expertise in datacenter operations and GPU hardware.
• Hands-on experience working with RDMA networking.
• Advanced hands-on experience and deep understanding of cluster management systems such as Kubernetes and SLURM.

Responsibilities

• Contribute to a platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
• Build end-to-end automation for data center management, break/fix, and system upkeep for large-scale machine learning systems.
• Implement monitoring and health management capabilities for GPU assets.
• Use data streams including GPU hardware diagnostics and cluster and network telemetry.
• Build automated test infrastructure to qualify distributed systems for operation.
• Partner with engineering teams across NVIDIA to integrate software from hardware through AI training applications.

Benefits

• Equity
• Benefits (not otherwise specified)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior