Diverse Lynx
Engineer
Candidates should have experience with NVIDIA GPUs for machine learning, proficiency in GPU frameworks (CUDA, cuDNN, TensorRT, NCCL), and strong programming skills in Python with major frameworks like PyTorch and TensorFlow. Understanding of GPU architecture and performance optimization, experience with profiling tools, and knowledge of distributed computing are required.
Candidates should have experience with NVIDIA GPUs for machine learning, proficiency in GPU frameworks (CUDA, cuDNN, TensorRT, NCCL), and strong programming skills in Python with major frameworks like PyTorch and TensorFlow. Understanding of GPU architecture and performance optimization, experience with profiling tools, and knowledge of distributed computing are required.