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Software Engineer (Early Talent)

Nebius · Amsterdam · posted 2026-11-04
<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>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.</p></div><p><strong><span data-contrast="auto">Summary:</span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}"> </span></p> <p style="text-align: left;"><strong>Location:</strong> Amsterdam<br><strong>Duration:</strong> 3 months<br><strong>Start date: </strong>Winter 2027<br><strong>Compensation:</strong> Paid<br><strong>Eligibility: </strong>Current University student (Computer Science or related field), Recent Graduate or Early Career specialist <br><strong>Work authorization:</strong> Permitted to work in the job's location</p> <h3><strong><span data-contrast="auto">The role</span></strong><span data-ccp-props="{}"> </span></h3> <p><span data-contrast="auto">We are looking for a <strong>Software Engineer</strong> to join us as a part of Early Talent Program. You will work alongside experienced engineers, learn how high-performance backend systems are designed and operated, and contribute code that runs in real environments used by customers worldwide. </span><span data-contrast="auto">You will get hands-on experience with distributed systems, workflow orchestration and engineering best practices in a team working at the cutting edge of AI cloud infrastructure.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":6,"335551620":6,"335559738":240,"335559739":240}"> </span></p> <h3><strong><span data-contrast="auto">The team</span></strong><span data-ccp-props="{"335551550":6,"335551620":6}"> </span></h3> <p><span data-contrast=&qu

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