EPAM Systems is searching for a senior ML performance engineer to drive kernel-level optimization across TPU and GPU architectures, enabling efficient training and inference for cutting-edge AI workloads.
The role involves building scalable developer infrastructure, coordinating with ML researchers and framework teams, and staying ahead of compiler and toolchain developments. This remote U.S. position emphasizes delivering impact across EPAM's AI/ML ecosystem.
#J-18808-LjbffrAI Performance Lead: Kernel & Hardware (Remote TPU/GPU) in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.