Software Engineer, DGX Cloud AI Infrastructure

NVIDIA builds software and systems that power advanced large language model workloads and GPU computing. The Software Engineer will bring up, benchmark, debug, and optimize distributed training and inference workloads across large-scale NVIDIA GPU platforms, while developing automation, benchmarking, and failure-attribution tooling.

Responsibilities:

• Bring up, validate, and debug large-scale AI clusters, infrastructure, and end-to-end workloads
• Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks
• Perform root-cause analysis of failures in large distributed environments
• Contribute to the resilience and failure-attribution tooling that detects, triages, and attributes node, fabric, and workload failures across the cluster
• Build and maintain repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms
• Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams
• Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization