MWDN is a general IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment. We’re looking for a highly technical engineer or researcher with deep expertise in GPU computing, CUDA, and LLM inference optimization to work on challenging problems at the intersection of AI systems and high-performance computing.Задачи Investigate and optimize LLM inference performance on modern GPUs.Work with inference and serving frameworks such as vLLM, SGLang, TensorRT-LLM, or similar systems.Analyze GPU execution, memory access patterns, kernel performance, and inference bottlenecks.Develop, optimize, debug, or reverse-engineer CUDA kernels and low-level GPU operations.Explore optimization techniques for matrix multiplication, attention mechanisms, and neural network layers.Benchmark performance and identify opportunities to improve latency, throughput,



and GPU utilization.Work on technically challenging problems requiring strong analytical thinking and hands-on experimentation.Требования Strong hands-on experience with CUDA and GPU programming.Deep understanding of GPU architecture, memory hierarchy, parallel execution, and performance optimization.Experience with LLM inference, AI systems, GPU kernels, or high-performance computing.Familiarity with one or more frameworks such as vLLM, SGLang, TensorRT-LLM, Triton, or FlashAttention.Experience debugging complex performance issues and investigating low-level system behavior.Strong problem-solving skills and the ability to communicate complex technical concepts in English.Будет плюсом: PhD or research experience in Computer Science, Machine Learning, Computer Architecture, or a related field; Publications, research projects, or meaningful contributions to open-source GPU/LLM infrastructure; Experience with PyTorchinternals, di

📌 Cuda / Ai Engineer In Gpu Computing (Madrid)
🏢 MWDN
📍 Madrid