Nebius
Solutions Architect
$250K–$320K
Remote - United States +1 · Remote · Full-time · Posted Oct 14, 2026
- Location
- Remote - United States
United States - Experience
- 5+ years in customer-facing technical pre-sales; 5+ years using Infrastructure as Code; 5+ years with Kubernetes; 5 years developing Python-based solutions. Added bonus: 3+ years with GPU computing.
- Education
- Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience.
- Visa sponsorship
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire.
About the job
Designs cloud infrastructure and MLOps solutions for customers’ AI/ML workloads, advising them on architecture, implementation, and pipeline optimization.
What you'll do
- Advise customers and deliver proof-of-concepts, workshops, presentations, and training on GPU cloud technologies.
- Translate customer requirements into documented solution architectures and Infrastructure as Code, collaborating with support and technical teams.
- Help customers improve AI/ML pipeline performance and scalability, and share customer scenarios with internal teams.
What they ask for
- Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience.
- 5+ years of customer-facing technical pre-sales experience, with pre-sales as a primary responsibility, including technical discovery, solution architecture, presentations, and proof-of-concept delivery.
- 5+ years of experience using Infrastructure as Code to automate scalable cloud infrastructure and network architectures.
- 5+ years of Kubernetes experience and 5 years of experience developing Python-based solutions for cloud infrastructure automation, systems integration, and technical problem-solving.
Nice to have
- 3+ years of GPU computing experience for machine learning and artificial intelligence training and inference workloads.
- Hands-on experience with HPC/ML orchestration or deep learning frameworks, or understanding of cloud ML tools from industry leaders.
Pay
$250,000 — $320,000 USD (on-target earnings)
Tools
Infrastructure as Code (IaC), Kubernetes, Python, Slurm, Kubeflow, TensorFlow, PyTorch, NVIDIA
AI focus
Supports customers’ AI/ML training and inference workloads through GPU cloud architecture, MLOps, and pipeline optimization.
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