Nebius is a European AI infrastructure company based in Amsterdam, North Holland, the Netherlands, specializing in full-stack AI solutions. The company offers large-scale GPU clust
Customer Engineer
Location
United States
Posted
4 days ago
Salary
$179.5K - $224.3K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Customer Engineer
Nebius
Role Description We are looking for a Customer Engineer 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. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction. You’re welcome to work remotely from the United States. - Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues. - 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. Qualifications - 5+ years in roles like 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. Requirements - 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. 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.
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