Наши требования
A profound understanding of theoretical foundations of machine learning
Deep understanding of performance aspects of large neural networks training and inference (data/tensor/context/expert parallelism, offloading, custom kernels, hardware features, attention optimisations, dynamic batching etc.)
Deep experience with modern deep learning frameworks (PyTorch, JAX, Megatron-LM, Tensort-LLM)
Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries
Familiarity with containerized environments (e.g., Docker, Kubernetes)
Strong communication and ability to work independently
Familiarity with modern LLM inference frameworks (vLLM, SGLang, TensorRT)
Experience in Python and performance profiling tools (e.g., Nsight, nvprof, perf)
Familiarity with cloud ML platforms like AWS, GCP, Azure ML
Contributions to open-source ML benchmarking tools