Developer Advocate - AI cloud
NebiusRemote - United StatesPosted 12 March 2026
Tech Stack
Job Description
Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with RD hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI RD team.
The Role
Nebius is seeking a Developer Advocate - AI Cloud to drive adoption of our high-performance cloud infrastructure. As a Developer Advocate, you’ll be the bridge between our cutting-edge cloud technology and the developers who build on it, helping them unlock the full potential of virtual machines, GPU clusters, orchestration tools and optimized ML infrastructure.
You’ll join our Developer Relations team with a mission to help developers succeed with Nebius’ cloud offerings. In this role, you’ll focus on communicating the technical capabilities and differentiators of our cloud infrastructure rather than our AI Studio, emphasizing our reliability, performance and ease of use.
You are welcome to work remotely from the United States.
Your responsibilities will include:
Technical advocacy and education
Create technical content demonstrating how to effectively use VMs, GPU clusters, Kubernetes, SLURM and Soperator for diverse computing workloads
Develop sample code, tutorials and reference architectures showcasing best practices for cloud computing and ML infrastructure
Build and present technical demonstrations of Nebius’ cloud platform at conferences, workshops and online events
Produce clear, engaging explanations of complex infrastructure concepts for various technical audiences
Community engagement and relationship building
Represent Nebius at industry events, conferences, hackathons and online forums focused on cloud infrastructure and ML computing
Build relationships with key stakeholders in the broader developer and cloud computing community
Engage with developers on technical forums, social media and community platforms to provide guidance on infrastructure topics
Organize and lead workshops, webinars and training sessions on effective use of cloud resources for various workloads
Product feedback and developer advocacy
Gather insights and feedback from the developer community to inform our product roadmap
Collaborate with engineering teams to improve developer experience with our cloud offerings
Identify common challenges developers face when working with cloud infrastructure and help create solutions
Advocate for developer needs internally while representing Nebius's interests externally
Content creation and thought leadership
Author technical blog posts about infrastructure optimization, deployment techniques and orchestration best practices
Create video tutorials and live coding sessions demonstrating effective use of Nebius cloud infrastructure
Contribute to technical documentation, best practices guides and knowledge base articles
Develop and share thought leadership content on cloud computing trends and technologies
We expect you to have:
Technical knowledge and skills
Strong understanding of cloud infrastructure and distributed computing principles
Experience with virtual machines, containerization, and managing compute resources
Knowledge of GPU clusters and techniques for optimizing ML workloads
Working knowledge of container orchestration systems like Kubernetes and job schedulers like SLURM
Familiarity with infrastructure components including networking, storage optimization and resource management
Exp ... (truncated, view full listing at source)
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