Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
AI infrastructure • Cloud platforms • GPU clusters • GPU cloud • GPUs as a service
February 15
🏄 California – Remote
🗽 New York – Remote
+1 more states
💵 $125k - $175k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
AI infrastructure • Cloud platforms • GPU clusters • GPU cloud • GPUs as a service
• 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. • You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
• Experience: 5+ 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. • It will be an added bonus if you have: • Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow). • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). • Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers. • Strong project management skills, with the ability to prioritize tasks and deliver on deadlines. • Proven experience mentoring technical teams and driving team growth. • Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
• 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.
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