Senior Solution Engineer – GPU Infrastructure

Job not on LinkedIn

🕒 March 24

🇺🇸 United States – Remote

💵 $180k - $220k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 50%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

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 the main technical interface for customers running workloads on Nebius GPU infrastructure • Support customers in deploying, configuring, and tuning GPU-based environments for performance and reliability • Investigate and resolve complex issues spanning hardware, networking, operating systems, and cluster-level behavior • Partner with data center operations, networking, and platform engineering teams to resolve customer-impacting issues • Convert customer requirements into practical architectures, configurations, and execution plans • Identify opportunities to improve system performance, stability, and overall customer experience • Develop and maintain technical documentation, including solution patterns, troubleshooting guides, and operational best practices • Contribute to continuous improvement by surfacing recurring issues, gaps, and optimization opportunities to internal teams

🎯 Requirements

• Experience in a customer-facing technical role, such as solutions engineer, support engineer, technical account manager, or similar • Strong understanding of GPU infrastructure, including NVIDIA-based systems, multi-node environments, and performance considerations • Hands-on experience with Linux systems and system-level troubleshooting • Familiarity with large-scale compute environments such as GPU clusters, AI infrastructure, or supercomputing systems • Ability to diagnose issues across hardware, networking, and software layers • Strong analytical and problem-solving skills • Excellent communication skills and ability to explain complex technical concepts clearly to customers • Proactive, ownership-driven approach with strong focus on customer success • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire

🏖️ 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 paid parental leave for secondary caregivers • Remote work reimbursement up to $85/month for mobile and internet • Company-paid short-term, long-term, and life insurance coverage • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams