Nebius seeks a senior Solutions Architect to serve as trusted technical advisor for strategic GPU Cloud customers, designing and scaling AI solutions with large-scale GPU workloads. You'll bridge sales, product, and engineering teams while optimizing ML training and inference performance.
5-10+ years in Cloud Solutions Architect, Technical Account Manager, or Customer Engineer roles
Hands-on experience with cloud services and AI/ML workloads
Proficiency in Infrastructure as Code tools like Terraform and Ansible
Experience with Kubernetes and Python programming
Solid understanding of GPU computing including ML training, inference, and GPU stacks like CUDA
Customer-centric approach with proven ability to build trust and foster long-term relationships
Strong ability to explain technical concepts to both technical and non-technical audiences
Serve as primary technical point of contact troubleshooting complex AI/ML issues
Guide customers in optimizing GPU performance for ML training and inference workloads
Partner with sales team to identify new opportunities and deliver technical presentations
Act as bridge to product teams relaying customer feedback and feature requests
Engage with stakeholders and negotiate solutions to address customer challenges
Manage large-scale GPU workloads involving hundreds to thousands of GPUs
Work remotely from United States or Canada
Listed on Nasdaq (NBIS) with headquarters in Amsterdam
Global R&D hubs across Europe, UK, North America and Israel
Team of 1,500+ including hundreds of engineers with deep hardware, software and AI expertise
Fast moving culture with bold thinking and constant growth
Opportunity to shape the future of AI infrastructure
186,368 β 223,642 CAD
/ year
184,000 β 356,500 USD
/ year
168,000 β 304,750 USD
/ year
124,000 β 195,500 USD
/ year
135,482 β 227,700 USD
/ year