Software Engineer (Early Talent)

Reposted 5 Days Ago
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Amsterdam, NLD
In-Office
Internship
Artificial Intelligence • Information Technology • Consulting
The Role
Interns will assist experienced engineers in designing backend systems, contributing code, and gaining practical knowledge in high-performance engineering and AI cloud infrastructure.
Summary Generated by Built In

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.

Summary:

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


The role

You’ll 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. You’ll get hands-on experience with modern backend technologies, scalable architectures and engineering best practices in a team that works at the cutting edge of AI cloud infrastructure.

We expect you to have:

  • Knowledge of at least one programming language (Go, Java, Python or С++).
  • Understanding of basic algorithms and data structures.
  • Strong motivation to learn, grow and develop as a backend engineer.
  • Willingness to work with complex systems and ask questions.

What we offer:

  • 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 compensation
  • Career growth and learning opportunities
  • Flexibility and work-life balance
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What'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 AI 

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. 

If you need accommodations during the application process, please let us know.

Skills Required

  • Knowledge of at least one programming language (Go, Java, Python or C++)
  • Understanding of basic algorithms and data structures
  • Strong motivation to learn, grow and develop as a backend engineer
  • Willingness to work with complex systems and ask questions
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The Company
473 Employees

What We Do

Cloud platform specifically designed to train AI models

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