Solutions Architect

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $250k - $320k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 21%

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Logo of Nebius Group

Nebius Group

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

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.

📋 Description

• 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, technical documentation, and how-tos with support engineers and technical writers • Optimize customer pipeline performance and scalability for efficient use of Nebius AI cloud resources and services • Serve as the primary subject-matter expert for customer scenarios across product, technical support, and marketing teams • Support marketing efforts during hackathons, conferences, workshops, webinars, and other events

🎯 Requirements

• 5–10+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing • Bachelor’s degree or foreign equivalent in a related field, or equivalent combination of education and relevant experience • Strong hands-on experience with infrastructure as code and configuration management tools, preferably Terraform/Ansible • Kubernetes experience • Python programming skills • 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 • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility • Experience with HPC/ML orchestration frameworks such as Slurm or Kubeflow is an added bonus • Experience with deep learning frameworks such as TensorFlow or PyTorch is an added bonus • Understanding of cloud ML tools from NVIDIA, AWS, Azure, or Google is an added bonus

🏖️ Benefits

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

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