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 infrastruc

📌 CUDA / AI engineer in GPU computing (España)
🏢 MWDN
📍 España