Senior Software Engineer

Job Summary

Leading the optimization and benchmarking of distributed training and inference workloads, the full-time Senior Software Engineer will manage large-scale AI clusters and ensure efficient performance across NVIDIA GPU platforms, with opportunities for remote work.

Key responsibilities

• Lead the bring-up, validation, and debugging of large-scale AI clusters and end-to-end workloads
• Profile and optimize workload performance using tools such as Nsight Systems and NCCL tests
• Conduct root-cause analysis of failures and build resilience and failure-attribution capabilities for large clusters

Required qualifications

• Bachelor's or Master's in Computer Science or a related technical field (or equivalent experience)
• 8+ years of experience in software infrastructure for large-scale AI or HPC systems
• Expertise in debugging and triaging AI applications across the full stack
• Deep hands-on experience with NCCL and CUDA-aware distributed execution
• Proficient in Python and C/C++ programming