<div class="content-intro"><p><strong>.
Nebius is leading a new era in cloud infrastructure for the global AI economy
We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
</p> <p>Built by engineers, for engineers.
From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
</p> <p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel.
Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
</p></div><p><strong>The role</strong></p> <p>Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs.
We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits.
Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.
</p> <p> </p> <p><strong>Some directions we are currently working on, and which you can be a part of:</strong></p> <ul> <li>Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups.
Squeezing the maximum performance for a wide range of LLM architectures at scale (e.
, GPT-OSS, Kimi K2.
5, DeepSeek V3.
</li> <li>Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
</li> <li>Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and.