Solutions Architect

Details

Nebius is building a full-stack AI cloud platform for developers and enterprises, supporting workloads from data and model training through production deployment. The Customer Experience Team works on real-world AI and ML challenges at massive GPU cloud scale, using advanced GPUs such as H200, B200, and GB200, as well as modern ML frameworks.

This role focuses on cloud infrastructure and MLOps. You will design and implement solutions for clients using cloud technologies for ML and AI teams, helping them build effective pipelines and serving as a trusted technical advisor.

The position can be performed remotely from Canada.

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 materials 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 subject-matter expert on customer scenarios for product, technical support, and marketing teams.
• Support marketing activities during 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.
• Ability to write code in Python.
• Solid understanding of GPU computing practices for machine learning 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.

Compensation

• On-target earnings range: $235,000–$300,000 CAD.
• Actual compensation depends on job-related factors, including experience, skills, qualifications, hiring level, and geographic location.

Benefits

• Competitive compensation and benefits.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.
• International environment and talented teams.

Nebius is an equal opportunity employer committed to an inclusive and diverse workplace. 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.