Research Engineer, Distributed Training

A Research Engineer in Distributed Training at Harmonic focuses on advancing their mathematical reasoning engine by optimizing and scaling reinforcement learning systems. The role involves conducting research and implementing solutions in model architecture, algorithms, data processing, and optimization, with a strong emphasis on distributed training and GPU acceleration. Candidates should have expertise in Python, PyTorch, and experience with large-scale GPU clusters and high-performance computing environments.