
Job Overview
Location
Remote - United States
Job Type
Full-time
Category
Software Engineering
Date Posted
June 22, 2026
Full Job Description
đź“‹ Description
- • Own the end-to-end production journey for customer AI workloads, guiding them from proof-of-concept to scalable, reliable production deployment on Nebius infrastructure.
- • Ensure customer workloads are stable, performant, and cost-efficient by monitoring and optimizing latency, throughput, and system reliability.
- • Act as the primary technical liaison between customer engineering teams and Nebius internal teams, including Solution Architects, Product, and Infrastructure.
- • Proactively identify and resolve technical bottlenecks in AI inference pipelines, leveraging deep understanding of inference frameworks such as vLLM and TensorRT.
- • Translate complex technical challenges into actionable solutions that improve time-to-production and time-to-value for enterprise AI customers.
- • Serve as the go-to point of contact during production incidents, coordinating cross-functionally to resolve issues under pressure while maintaining clear communication.
- • Provide ongoing guidance on best practices for deploying and optimizing LLM inference, GPU workloads, and distributed AI systems in cloud environments.
- • Collect and structure customer feedback on product limitations and infrastructure pain points, feeding insights directly into Product and Infrastructure roadmaps.
- • Drive continuous improvement by identifying opportunities to expand customer usage of Nebius platform features based on real-world deployment patterns.
- • Maintain a proactive, ownership-driven mindset—focused on outcomes, not just task completion—and manage multiple customer accounts with competing priorities.
- • Support customer expansion through technical success, demonstrating value that naturally leads to increased adoption, without engaging in direct sales activities.
- • Do not design systems from scratch; instead, optimize and validate existing customer architectures to ensure alignment with Nebius platform capabilities.
- • Avoid reactive support roles; instead, anticipate issues and implement preventive measures to ensure production stability before incidents occur.
🎯 Requirements
- • Practical knowledge of inference frameworks such as vLLM, TensorRT, or similar
- • Solid understanding of cloud or infrastructure systems and distributed systems or high-load applications
- • Experience working directly with technical customers (e.g., engineers, ML teams) and communicating complex technical topics clearly
- • Strong sense of ownership and ability to drive outcomes across multiple customer accounts
- • Ability to troubleshoot and reason about system performance in AI/ML workloads
- • Proven ability to manage priorities and execute with a structured, solution-oriented mindset
🏖️ 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, 12 weeks for secondary caregivers
- • Remote work reimbursement of up to $85/month for mobile and internet expenses
- • Company-paid short-term, long-term, and life insurance coverage
- • Competitive compensation ranging from $180,000 to $225,000 USD
Skills & Technologies
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About Nebius Group N.V.
Nebius Group N.V. is a Netherlands-based technology company that operates a full-stack cloud platform designed for AI and machine learning workloads. It provides scalable GPU and CPU infrastructure, managed Kubernetes, object storage, and specialized AI services to enterprises and research organizations worldwide. The company was formed from the restructuring of Yandex N.V. and continues to serve global markets with data centers across Europe and North America.
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