Obsidian seeks a detail-focused evaluator to assess GPU/accelerator kernel development tasks used to train and evaluate frontier AI models. You will review numerical correctness, benchmark fairness, task scoping, and ensure compilation and runtime validity across diverse kernel types.
The role emphasizes rubric-based written feedback, reproducible methodology, and collaboration with ML scientists to tighten kernel pipelines.
#J-18808-LjbffrGPU Kernel Quality Engineer in new york at Unknown Company
This position is listed as full time and onsite.