CUDA Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Analyze and enhance the performance of LLM inference on contemporary GPUs.

• Collaborate with inference and serving frameworks such as vLLM, SGLang, TensorRT-LLM, or similar technologies.

• Examine GPU execution, memory access patterns, kernel performance, and identify inference bottlenecks.

• Create, optimize, debug, or reverse-engineer CUDA kernels and low-level GPU operations.

• Investigate optimization methods for matrix multiplication, attention mechanisms, and neural network layers.

• Conduct performance benchmarking and pinpoint areas for improving latency, throughput, and GPU utilization.

• Tackle technically challenging issues that necessitate analytical reasoning and practical experimentation.

• Contribute to international products through MWDN, a global IT outstaffing firm that connects tech talent with leading companies.

⛳️ Requirements

• Extensive hands-on experience with CUDA and GPU programming.

• Thorough understanding of GPU architecture, memory hierarchy, parallel execution, and performance tuning.

• Background in LLM inference, AI systems, GPU kernels, or high-performance computing.

• Familiarity with one or more of the following: vLLM, SGLang, TensorRT-LLM, Triton, or FlashAttention.

• Experience in debugging intricate performance issues and analyzing low-level system behavior.

• Strong analytical and problem-solving abilities.

• Proficiency in conveying complex technical concepts in English.

• A PhD or research experience in Computer Science, Machine Learning, Computer Architecture, or a related discipline (preferred).

• Publications, research initiatives, or significant contributions to open-source GPU/LLM infrastructure (preferred).

• Knowledge of PyTorch internals, distributed inference, quantization, KV cache optimization, or custom GPU kernels (preferred).

• Contributions to vLLM, SGLang, Triton, FlashAttention, or similar repositories (preferred).

🏝️ Benefits

• Security through thorough client vetting to reduce risks and ensure reliability and prompt payments.

• Career support and guidance in discovering new opportunities.

• Legal assistance regarding independent contractor or sole proprietorship status, taxes, and associated processes.

• English language courses.

• Opportunities for professional growth.

• Team-building events.

• Flexible working hours.

• 29 days of paid time off (18 working days annually plus all national holidays).

• 10 paid recovery days.

• Comprehensive financial and legal support for independent contractors.

• Complimentary English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.

• People-first management with minimal bureaucracy.

• A welcoming company culture.