Engineer

• Profile end-to-end training runs to identify performance bottlenecks across compute, communication, and storage.
• Optimize GPU utilization and throughput for large-scale distributed model training.
• Collaborate with runtime and systems engineers to improve kernel efficiency, scheduling, and collective communication performance.
• Implement model graph transforms to improve end to end throughput.
• Build tooling to monitor and visualize MFU, throughput, and uptime across clusters.
• Partner with researchers to ensure new model architectures scale efficiently during pre-training.
• Contribute to infrastructure decisions that improve reliability and efficiency of large training jobs.

Training Performance Engineer

Senior Device Lab Engineer

Water Resources Engineer

Senior Patent Engineer/Technologist

Associate Transmission Planning Engineer

Associate Transmission Planning Engineer