The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.
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Full company description
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.
LinkedIn followers
77,734
People associated on LinkedIn
547
Reported office locations
Amsterdam, NL
Tel Aviv, IL
Belgrade, RS
San Francisco , US
New York, US
Mantsala, FI
Paris, FR
Kansas City, US
London, GB
Dallas, US
Business categories
Information Technology
PaaS
IaaS
GPU
Cloud Data Services
Artificial Intelligence (AI)
Cloud Infrastructure
AI Infrastructure
Other recorded names
Nebius
Specialties
Cloud and AI
Profile identifies a recruitment agency
No
Reported total investment
9,591,335,965
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Technology, Information and Internet
Size
501-1,000 employees
Headquarters
Amsterdam
Organization type
Public Company
Specialties
Cloud and AI
Nebius has 4 open jobs in Canada as of November 6, 2026.
7+ YOECandidates need 7+ years in solutions, cloud or platform architecture or a similar customer-facing technical role, with a track record supporting enterprises. Strong hands-on knowledge of cloud-native infrastructure, Kubernetes and enterprise AI adoption, plus excellent presentation and stakeholder skills, are required.
5+ YOECandidates need a bachelor's degree or equivalent experience, 5+ years of customer-facing technical pre-sales, 5+ years of infrastructure as code, 5+ years of Kubernetes, and 5 years of Python for cloud automation. GPU and ML framework experience is a bonus.
5+ YOECandidates need 5+ years in solutions architecture or technical partner roles, proven success enabling resellers and technology partners, and strong cloud architecture knowledge across compute, storage, networking and security. A relevant degree or equivalent experience is also required.
5+ YOECandidates need a bachelor's degree in a related field and 5-7 years of government affairs or public policy experience, ideally in tech, energy or infrastructure. Strong writing, research and stakeholder management skills are essential, along with willingness to travel.