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Senior Software Engineer - DGX Cloud

NVIDIA

Skills

Required

  • on large-scale production systems
  • systems programming language
  • Go / Python / Rust
  • Data Structures
  • Algorithms
  • Linux system administration and management
  • container orchestration platforms
  • Kubernetes / SLURM
  • complex distributed systems
  • system level architecture
  • data synchronization

Preferred

  • cluster management systems
  • data center management
  • Machine Learning
  • GPU
  • GPU hardware diagnostics
  • cluster and network telemetry

Join a team of engineers at NVIDIA dedicated to scaling the AI infrastructure that powers cutting-edge data science applications. Our team solves complex challenges across datacenter hardware, networking, distributed systems, and software deployment.

About NVIDIA

  • We collaborate closely to design and deliver leading infrastructure solutions.
  • We value strong technical foundations paired with creative thinking and a bias toward execution.

Responsibilities

  • Together, we continuously push boundaries, grow our skills, and advance NVIDIA’s capacity to build and deploy AI-based infrastructure at scale.
  • Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
  • Build end-to-end automation of data center management, break/fix, and the full span of system upkeep for large-scale Machine Learning systems.
  • Implement monitoring and health management capabilities that enable industry-leading reliability, availability, and scalability of GPU assets.
  • Harness multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
  • Build automated test infrastructure that we use to qualify distributed systems for operation.
  • Partner with engineering teams across NVIDIA to ensure the software integrates seamlessly from the hardware all the way up to the AI training applications.

Requirements

  • 5+ years of experience in a similar role working on large-scale production systems.
  • BS in Computer Science/Engineering/Physics/Mathematics or other comparable degree, or equivalent experience.
  • Expert level knowledge of a systems programming language (Go, Python, and/or Rust) and a 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.
  • Ways to stand out from the crowd: 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.

Preferred

  • Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, SLURM).

Benefits

  • You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until November 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

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