Senior Software Engineer - DGX Cloud

Description

The company builds the AI infrastructure behind data science applications, and this team is responsible for scaling it.

The team works across datacenter hardware, networking, distributed systems, and software deployment, collaborating closely to design and ship infrastructure.

Responsibilities

• Help build a platform that provisions, configures, and manages the lifecycle of GPU assets across cloud providers.
• Automate datacenter management, break/fix work, and routine upkeep for large-scale machine learning systems, end to end.
• Create monitoring and health management tools that keep GPU assets reliable, available, and scalable.
• Combine data from sources such as GPU hardware diagnostics and cluster and network telemetry.
• Build automated test infrastructure used to qualify distributed systems before they go into operation.
• Work with engineering groups across the company so software functions smoothly from hardware up to AI training applications.

Requirements

• Have 5+ years in a similar role working on large-scale production systems.
• Hold a BS in computer science, engineering, physics, mathematics, or a comparable degree, or have equivalent experience.
• Have expert-level skill in a systems language such as Go, Python, and/or Rust, plus a solid grasp of data structures and algorithms.
• Have strong Linux system administration skills.
• Have deep knowledge of container orchestration platforms such as Kubernetes and/or SLURM.
• Understand performance, security, and reliability in complex distributed systems.
• Be familiar with system-level architecture, data synchronization, fault tolerance, and state management.
• Ways to stand out: design and build widespread distributed networks.
• Ways to stand out: experience running large-scale distributed systems without relying on cloud providers.
• Ways to stand out: extensive datacenter operations and GPU hardware expertise.
• Ways to stand out: hands-on experience with RDMA networking.
• Ways to stand out: advanced hands-on experience and deep understanding of cluster management systems such as Kubernetes and SLURM.

Conditions

Applications are accepted at least until November 6, 2026.

This is an existing vacancy.

The company uses AI tools in its recruiting processes.