28 days ago
Remote, United StatesSenior / Staff+
Responsibilities
- Act as a trusted technical advisor to clients throughout engagements.
- Conduct proofs of concept, workshops, presentations, and training on GPU cloud technologies and best practices.
- Understand customer requirements and design, document, and explain cloud solution architectures.
- Develop infrastructure-as-code solutions, documentation, and technical how-to materials with support engineers and technical writers.
- Optimize customer pipeline performance, scalability, and cloud resource utilization.
- Represent customer scenarios and expertise to product, technical support, and marketing teams.
- Support marketing activities including hackathons, conferences, workshops, and webinars.
Requirements
- Have 5–10+ years of experience as a cloud solutions architect, systems or network engineer, developer, or similar technical professional focused on cloud computing.
- Have a bachelor’s degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience.
- Have hands-on experience with infrastructure-as-code and configuration-management tools, preferably Terraform and Ansible.
- Have Kubernetes experience and Python programming skills.
- Understand GPU computing for ML training and inference, including GPU drivers, libraries, CUDA, and OpenCL.
- Have strong communication skills and a customer-centric mindset.
- Experience with Slurm, Kubeflow, TensorFlow, PyTorch, and cloud ML tools from NVIDIA, AWS, Azure, or Google is a bonus.
Benefits
- 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan with up to a 4% company match and immediate vesting.
- Paid parental leave of 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
- Remote work reimbursement of up to $85 per month for mobile and internet expenses.
- Company-paid short-term disability, long-term disability, and life insurance.
- Remote work is available from the United States.
- Career growth, learning opportunities, flexibility, ownership, and an international collaborative environment.
About Nebius
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.