Jobs · Engineering · Washington

Senior DGX Cloud AI Infrastructure Software Engineer

NVIDIA · Redmond, WA · 2 wk ago
EngineeringFull-time

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.
  • Skill in problem-solving, root cause analysis, and optimization.
  • Root cause and analyze and triage failures from the application level to the hardware level.

Requirements

  • 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.

Qualifications

  • Background in working with the large scale clusters.
  • Experience in defining and building observability and telemetry software stack.
  • Experience with RDMA software stack (NCCL, IB verbs, ucx, libfabrics).
  • Experience and root cause analysis of failures and datacenter scale.
  • Good understanding on DL frameworks internal (PyTorch, TensorFlow, JAX, and Ray).

Benefits

Base salary range: $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.

You will also be eligible for equity and benefits.

Application deadline: April 6, 2026.

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