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Semiconductors, Artificial Intelligence, Computer Hardware, Software Development

Senior Software Engineer - DGX Cloud

RemoteHybridFull TimeSenior$224,000–$431,250 /yrPosted 7 days agoVisa sponsorship availableHidden Gem · Himalayas

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Required skills

  • GPU asset provisioning
  • configuration
  • lifecycle management
  • data center management
  • system upkeep
  • Machine Learning systems
  • monitoring
  • health management
  • reliability
  • availability

Nice to have

  • datacenter operations
  • GPU hardware
  • RDMA networking
  • cluster management systems

Role summary

NVIDIA is seeking a Senior Software Engineer for their DGX Cloud team, focusing on scaling AI infrastructure. This role involves designing and implementing solutions for GPU asset provisioning, data center management, and system reliability. You will work with distributed systems, container orchestration (Kubernetes, SLURM), and various data streams to ensure high availability and scalability. The position requires expert knowledge in systems programming languages (Go, Python, Rust), Linux administration, and distributed systems concepts. Experience in data center operations, RDMA networking, and system architecture is highly valued.

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. We collaborate closely to design and deliver leading infrastructure solutions. We value strong technical foundations paired with creative thinking and a bias toward execution. Together, we continuously push boundaries, grow our skills, and advance NVIDIA’s capacity to build and deploy AI-based infrastructure at scale.

What you will be doing:

  • 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.

What we need to see:

  • 12+ 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.
  • Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, SLURM).
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Originally posted on Himalayas

Sample NVIDIA interview questions

  • 1

    Design a system for a rock paper scissors game

    system designmedium
  • 2

    Implement a distributed data migration management platform.

    system designmedium
  • 3

    Design a Distributed Build System with Cross-Data Center Artifact Sharing

    system designhard
  • 4

    Design a distributed training system for a trillion-parameter language model

    system designmedium
  • 5

    Develop a distributed tracing system for tracking and debugging.

    system designmedium

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