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Network Engineer (AI Infrastructure) Early Career

External
nebius logoNebius · Amsterdam, Netherlands
Full-timeOn-site3w ago
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About the role

Location : Amsterdam Duration : 3 months Start date : June 2026 Compensation : Paid Eligibility : Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization : Permitted to work in the job's location 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. Your responsibilities will include Primary Focus: learning network operations while supporting the team with routine and low-risk tasks across data center and backbone networks under close supervision. Operational Support (Supervised): Assist in day-to-day network operations for data center and backbone environments. Perform simple, well-defined tasks from the backlog under guidance: configuration updates, checks, and data collection. Help with hardware installation tasks (rack, cable, label) under supervision. Network Stability & Safe Execution: Deploy pre-approved and tested configurations following clear instructions. Strictly follow change management and operational procedures. Escalate any unclear behavior or unexpected results immediately. Learning & Growth: Actively study networking fundamentals: Ethernet, IP, routing, DC and backbone basics. Learn internal tools, workflows, and operational standards. Gradually expand task scope as skills and reliability improve.

Benefits

Competitive salary and comprehensive benefits package.Mentorship from experienced AI, ML, and cloud infrastructure professionals.Hands-on experience with real customer workloads and production systems.Opportunities for professional growth within Nebius.A dynamic and collaborative work environment that values initiative and innovation.Opportunity to be considered for a full-time role after the Early Talent Program.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!Benefits & Perks:Competitive compensationCareer growth and learning opportunitiesFlexibility and work-life balanceCollaborative and innovative cultureOpportunity to work on impactful AI projectsInternational environment and talented teamsWhat's it like to work at Nebius:Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AIEqual Opportunity Statement: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.Vision insurance

Additional Information

About Nebius: 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.

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