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Software Engineer - Early Talent Opportunity

NebiusAmsterdam, Netherlands
On-site Internship

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Experience Level

Entry Level

Qualifications

Requirements:Proficiency in at least one programming language (Go, Java, Python, or C++). Basic understanding of algorithms and data structures. Strong desire to learn, grow, and evolve as a backend engineer. Curiosity and willingness to engage with complex systems and ask questions.

About the job

Join Nebius and Shape the Future of Cloud Computing!
Nebius is at the forefront of a revolutionary shift in cloud computing, catering to the burgeoning global AI economy. We empower our clients with the essential tools and resources needed to tackle real-world challenges and revolutionize industries, all without incurring hefty infrastructure costs or assembling large in-house AI/ML teams. Our team operates at the vanguard of AI cloud infrastructure, collaborating with some of the most seasoned and innovative professionals in the industry.

Our Work Environment
Based in Amsterdam and publicly traded on Nasdaq, Nebius boasts a global presence with R&D facilities across Europe, North America, and Israel. Our diverse team of over 1,400 employees includes more than 400 adept engineers specializing in hardware and software engineering, complemented by a dedicated in-house AI R&D team.

Role Overview:

As a Software Engineer at Nebius, you will collaborate closely with seasoned engineers, gaining insights into the design and operation of high-performance backend systems while actively contributing code that powers real-world applications utilized by clients globally. This position offers hands-on experience with cutting-edge backend technologies, scalable architectures, and engineering best practices within a team dedicated to advancing AI cloud infrastructure.

About Nebius

Nebius is pioneering a new era of cloud computing tailored to the needs of the global AI economy. Our mission is to equip customers with the necessary tools and resources to address real-world challenges without incurring significant infrastructure costs. We pride ourselves on fostering a culture of innovation and collaboration, supported by a skilled workforce dedicated to advancing AI technologies.

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