Software Engineer for AI Infrastructure

Job Summary

Focusing on the benchmarking and optimization of distributed training and inference workloads, the full-time Software Engineer for AI Infrastructure will bring up, validate, and debug large-scale AI clusters while working remotely or onsite in various locations.

Key responsibilities

• Bring up, validate, and debug large-scale AI clusters and end-to-end workloads
• Benchmark AI pre-training, post-training, and inference workloads using NVIDIA AI software stacks
• Perform root-cause analysis of failures and contribute to failure-attribution tooling across the cluster

Required qualifications

• Bachelor's or Master's in Computer Science or a related technical field (or equivalent experience)
• 3+ years of experience developing software for AI, HPC, or systems-level applications
• Hands-on experience with multi-GPU or multi-node workloads and CUDA-aware distributed execution
• Experience debugging and scaling distributed systems
• Strong programming skills in Python and C/C++