MWDN is a integral 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 PyTorch internals, distributed inference, quantization, KV cache optimization, or custom GPU kernels; Contributions to projects such as vLLM, SGLang, Triton, FlashAttention, or related repositories. Условия
* Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments
- no fraud or unpleasant surprises.
* Career support: If a project isn't the right fit, we support you and actively help find new opportunities that match your skills and career goals.
* Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
* Professional development:

We offer
English courses and professional growth opportunities, as well as team-building events.
* People-first management with minimal bureaucracy.
* A friendly company culture, proven by employees who choose to return.
* Flexible

working hours
.
* 29 days of PTO (18 working days per year pluse all national holidays)
* 10 paid recovery days.
* Full financial and legal support for independent contractors.
* Free English classes, with native speakers or Ukrainian teachers.
* Dedicated HR support.

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