Customer Engineer EMEA

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 R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. The role We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction. You’re welcome to work remotely from Europe. Your responsibilities will include: Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues. Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability. Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations. Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements. Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges. We expect you to have: Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads. Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible. Experience with Kubernetes and Python programming. Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL). Customer-centric approach with a proven ability to build trust and foster long-term relationships. Strong ability to explain technical concepts to technical and non-technical audiences. It will be an added bonus if you have: Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow). Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers. Strong project management skills, with the ability to prioritize tasks and deliver on deadlines. Proven experience mentoring technical teams and driving team growth. Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration. What we offer: Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Flexible working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Equal Opportunity Statement: 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.