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Data Center IT Manager at Nebius | Minnesota

NebiusMinnesota, United States
On-site Full-time

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Experience Level

Manager

Qualifications

Proven experience managing IT operations within a data center environment. Strong background in hardware and software infrastructure. Expertise in AI and high-performance computing technologies. Excellent leadership and team management skills. Ability to analyze and improve operational processes.

About the job

Why Choose Nebius?
Nebius is at the forefront of a transformative era in cloud computing, dedicated to empowering the global AI economy. We develop innovative tools and resources that enable our clients to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure expenses and the necessity of large in-house AI/ML teams. Our team collaborates with some of the most talented and pioneering engineers and leaders in the AI cloud infrastructure space.

Our Workplace
Headquartered in Amsterdam and publicly traded on Nasdaq, Nebius boasts a global presence with R&D centers across Europe, North America, and Israel. Our workforce of over 1,400 employees includes more than 400 highly skilled engineers, specializing in both hardware and software engineering, alongside a dedicated in-house AI R&D team.

The Team

Join our rapidly expanding Neocloud infrastructure division, where we operate at the intersection of AI, high-performance computing (HPC), and hyperscale cloud services. Our data centers are equipped with large-scale GPU clusters specifically designed for AI training, inference, and accelerated workloads.

As we scale our global data center operations, this role presents substantial career advancement opportunities, direct involvement in new data center constructions and expansions, and exposure to cutting-edge GPU platforms. Your contributions will have a measurable impact on our operations.

About Nebius

Nebius is pioneering advancements in cloud computing, geared towards supporting the AI-driven economy with innovative solutions that minimize costs and maximize efficiency.

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