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Home›Jobs›Nebius AI›Cloud Solutions Architect
Nebius AI

About Nebius AI

Empowering AI with robust infrastructure solutions

🏢 Tech👥 51-250📅 Founded 2022📍 Amsterdam, North Holland, Netherlands

Key Highlights

  • Publicly traded on Nasdaq, expanding AI infrastructure market
  • Headquartered in Amsterdam with hubs in the US, Europe, and Israel
  • Team of around 400 skilled engineers focused on AI/ML
  • Specializes in large-scale GPU clusters and cloud platforms

Nebius is a Nasdaq-listed company headquartered in Amsterdam, specializing in AI infrastructure solutions. With a team of around 400 engineers, Nebius provides large-scale GPU clusters and cloud platforms designed to support the rapid growth of the AI industry. The company has established R&D and co...

🎁 Benefits

Nebius offers competitive equity packages, a flexible PTO policy, and opportunities for remote work. Employees also benefit from a learning budget to ...

🌟 Culture

Nebius fosters a culture centered around engineering excellence and innovation in AI infrastructure. The company values collaboration across its globa...

🌐 Website💼 LinkedInAll 179 jobs →
Nebius AI

Cloud Solutions Architect

Nebius AI • Canada; Remote - United States

Posted 1w ago🏠 RemoteCloud engineer📍 Canada📍 United states
Apply Now →

Skills & Technologies

Cloud infrastructureMlops

Job Description

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 800 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.

Customer experience:

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Cloud Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work remotely from the US or Canada.

Your responsibilities will include: 

  • Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
  • Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
  • Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
  • Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
  • Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

  • 5 - 10 + years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
  • Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
  • Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
  • Excellent communication skills
  • Customer-centric mindset

It will be an added bonus if you have: 

  • Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
  • Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
  • Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Key Employee Benefits:

  • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) Plan: Up to 4% company match with immediate vesting.
  • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote Work Reimbursement: Up to $85/month for mobile and internet.
  • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from 215k - 275k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!

What we offer 

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

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!

Interested in this role?

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