Member of Engineering (Scalability) - poolside - Remote - Global

Join us at Poolside and work at the forefront of applied research and engineering at scale. We are a remote-first team across Europe and North America, focused on building powerful AI models and infrastructure. The role involves working on distributed training and inference of Large Language Models, ensuring software reliability, fault tolerance, and hardware problem troubleshooting. Candidates should have strong engineering skills, knowledge of Torch, NVIDIA GPU architecture, distributed systems, and basic understanding of LLM principles. Responsibilities include hardware troubleshooting, minimizing GPU idle time, developing tools for training recovery, and writing high-quality code in Python, Cython, C++, CUDA. The team values fast learners, critical thinkers, and those eager to step out of their comfort zone. Benefits include fully remote work, flexible hours, 37 days of vacation, health insurance allowance, company equipment, and team get-togethers.