Senior GenAI Research Engineer: High-Perf GPU Kernels
$166k - $225kDatabricks
A leading data and AI company in San Francisco is seeking a Research Engineer for their Scaling Team. The ideal candidate will have a strong background in deep learning and CUDA kernel optimization, working collaboratively to advance techniques in AI applications. This role involves driving performance improvements and designing high-performance GPU kernels, making it crucial for candidates to possess expertise in distributed training frameworks like PyTorch. A competitive salary range of $166,000—$225,000 USD is offered. #J-18808-Ljbffr Databricks
Vacancy posted 1 day ago
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