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Senior DGX Cloud AI Infrastructure Software Engineer

NVIDIA· Engineer, Sys SW
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Hybrid (Remote)$184k - $356.5kfull-timePosted 7mo ago

About the role

Senior AI infrastructure software engineer role within NVIDIA's DGX Cloud AI Efficiency Team, focusing on designing, building, and maintaining infrastructure for large-scale AI training, post-training, and inference to enable efficient and scalable AI workloads.

Responsibilities

  • Develop infrastructure software and tools for large-scale pre-training, post-training, and inference.
  • Develop and optimize tools and libraries to improve infrastructure efficiency and resiliency.
  • Co-design and implement APIs for integration with NVIDIA's resiliency stacks.
  • Enhance infrastructure and products underpinning NVIDIA's AI platforms.
  • Define meaningful and actionable reliability metrics to track and improve system and service reliability.
  • Skilled in problem-solving, root cause analysis, and optimization.
  • Root cause analysis and triage of failures from the application level to the hardware level

Qualifications

  • Minimum of 8+ years of experience in developing software infrastructure for large scale AI systems.
  • Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience).
  • Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level.
  • Experience with observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki).
  • Proven track record in building and scaling large-scale distributed systems.
  • Experience with AI training and inferencing infrastructure services.
  • Proficiency in programming languages such as Python, C/C++, script languages.
  • Experience in quality software engineering practices, including test development, defensive programming, version control, and CI.
  • Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential.

Skills

Required:Programming (Python, C/C++, scripting)Observability and monitoringDistributed systems

Benefits

  • equity and benefits (as per NVIDIA benefits)
Last updated Oct 2, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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