Senior Software Developer: Models Team (Token Factory)

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.

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.

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.

• Cache-aware routing
• NUMA-aware deployments
• KV-cache offloading
• Disaggregated serving architectures
• Autoscaling with high-speed model loading over InfiniBand / RoCE

The team maintains and extends forks of leading inference frameworks such as vLLM and TRT-LLM. We have deep expertise in production-scale model serving and regularly support the Solutions Architects team on the most demanding customer PoCs.

To operate efficiently at scale, we invest heavily in tooling and automation. 

• Performance, quality, and smoke-testing frameworks
• Hyperparameter optimization for inference framework configurations
• Gibberish detection systems
• Automated rollout pipelines for inference framework upgrades
• Diagnostics and observability tooling
• Traffic replay systems
• Automated search for optimal serverless deployment configurations

We collaborate closely with model builders, open-source communities, Nebius Cloud teams, and hardware vendors to continuously improve our serving infrastructure.
The team is highly goal-oriented and outcome-driven, with a strong focus on delivering results rather than following rigid processes.

We are currently a team of eight engineers distributed across Europe, with members based in the Netherlands, the United Kingdom, Germany, and Latvia.
Our workflows are optimized for remote collaboration. At the same time, we meet in person every one to two months at one of our locations to work together, brainstorm new ideas, and plan upcoming milestones.

While many team members joined without extensive AI/ML experience, we have rapidly developed strong expertise in large-scale model serving and AI infrastructure.

Our work is deeply integrated with the broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems. We collaborate closely with teams working on cloud infrastructure, observability, reliability, fault tolerance, and platform engineering. The challenges we solve sit at the intersection of distributed systems, high-performance computing, and modern AI infrastructure.

• Experience serving LLMs in production
• Strong Python and/or Go programming skills
• Experience designing and operating highly scalable, highly available distributed services

• Contributions to vLLM, SGLang, TRT-LLM, or NVIDIA ecosystem open-source projects
• Deep understanding of KV cache management, speculative decoding, and quantization
• Experience with LLM evaluation frameworks
• Hands-on experience with performance benchmarking and optimization
• Deep understanding of Kubernetes
• Familiarity with distributed serving architectures and autoscaling
• Knowledge of InfiniBand, RoCE, or high-performance networking

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI 

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. 

If you need accommodations during the application process, please let us know.