# Key Customers Solutions Architect

**Company**: Nebius
**Location**: Canada; Remote - United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $208,800-$261,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/4633942101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bd71d980-ff8

## Description

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs.

Responsibilities:

- Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.

- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.

- Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.

- Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.

- Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

Requirements:

- Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.

- Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.

- Experience with Kubernetes and Python programming.

- Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).

- Customer-centric approach with a proven ability to build trust and foster long-term relationships.

- Strong ability to explain technical concepts to technical and non-technical audiences.

- Bachelor's degree or higher in Computer Science, Computer Engineering, Software Engineering, Information Technology, Mathematics, Electrical Engineering, or another closely related technical or quantitative field

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.

Salary: $208,800-$261,000 USD

## Skills

### Required
- Cloud Solutions Architect
- Technical Account Manager
- Customer Engineer
- Infrastructure as Code (IaC)
- Terraform
- Ansible
- Kubernetes
- Python
- GPU computing
- ML training
- CUDA
- OpenCL

### Nice to have
- HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)
- deep learning frameworks (e.g., PyTorch, TensorFlow)
- ML tools from NVIDIA, AWS, Azure, and Google Cloud providers
- project management
- stakeholder negotiation

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4633942101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)