Solutions Architect

Details

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through production deployment. The platform covers compute, storage, networking, GPU orchestration, inference optimization, and applied AI.

The Customer Experience team helps customers solve real-world AI and ML challenges at massive GPU cloud scale. The role involves working with GPUs such as H200, B200, and GB200, modern ML frameworks, and infrastructure and AI technologies.

Responsibilities

• Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements.
• Conduct proofs of concept, workshops, presentations, and training sessions on GPU cloud technologies and best practices.
• Understand customer business requirements and develop aligned solution architectures.
• Design and document Infrastructure as Code solutions, documentation, and technical how-to guides in collaboration with support engineers and technical writers.
• Help customers optimize pipeline performance and scalability for efficient use of cloud resources and Nebius AI services.
• Serve as the primary expert on customer scenarios for product, technical support, and marketing teams.
• Support marketing efforts at hackathons, conferences, workshops, webinars, and other events.

Requirements

• 5–10+ years of experience as a cloud solutions architect, systems or network engineer, developer, or in a similar technical role focused on cloud computing.
• Bachelor’s degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience.
• Strong hands-on experience with Infrastructure as Code and configuration management tools, preferably Terraform and Ansible.
• Experience with Kubernetes and writing code in Python.
• Solid understanding of GPU computing practices for ML training and inference workloads.
• Knowledge of GPU software stack components, including drivers and libraries such as CUDA and OpenCL.
• Excellent communication skills.
• Customer-centric mindset.

Preferred Qualifications

• Hands-on experience with HPC or ML orchestration frameworks such as Slurm and Kubeflow.
• Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch.
• Solid understanding of cloud ML tools from NVIDIA, AWS, Azure, and Google.

Benefits

• 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan with up to a 4% company match and immediate vesting.
• 20 weeks of paid parental leave for primary caregivers and 12 weeks for secondary caregivers.
• Remote work reimbursement of up to $85 per month for mobile and internet.
• Company-paid short-term disability, long-term disability, and life insurance.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.
• International environment and talented teams.

Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire. Nebius is an equal opportunity employer.