Nebius Logo

Nebius

Sr. Solutions Engineer (GPU Infrastructure)

Posted One Month Ago
Remote
Hiring Remotely in United States
180K-220K Annually
Senior level
Remote
Hiring Remotely in United States
180K-220K Annually
Senior level
Serves as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure. Responsibilities include configuring and tuning GPU environments, troubleshooting hardware, networking, operating system, and cluster issues, coordinating with internal engineering teams, translating requirements into architectures and execution plans, documenting solutions, and identifying performance and reliability improvements.
The summary above was generated by AI

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role  

Nebius is looking for a Sr. Solutions Engineer, you will act as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on Nebius. You will bridge customer requirements with internal engineering capabilities, ensuring successful deployment, stable operations, and ongoing optimization of complex, high-performance environments.  

Your responsibilities will include: 

  • Acting as the main technical interface for customers running workloads on Nebius GPU infrastructure.
  • Supporting customers in deploying, configuring, and tuning GPU-based environments for performance and reliability.
  • Investigating and resolving complex issues spanning hardware, networking, operating systems, and cluster-level behavior.
  • Partnering with internal teams (data center operations, networking, platform engineering) to coordinate and drive resolution of customer-impacting issues.
  • Converting customer requirements into practical architectures, configurations, and execution plans.
  • Identifying opportunities to improve system performance, stability, and overall customer experience.
  • Developing and maintaining technical documentation, including solution patterns, troubleshooting guides, and operational best practices.
  • Contributing to continuous improvement by surfacing recurring issues, gaps, and optimization opportunities to internal teams.

We expect you to have:

  • Experience in a customer-facing technical role (e.g., 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, with the ability to operate effectively in high-pressure situations.
  • Excellent communication skills, with the ability to explain complex technical concepts clearly to customers.
  • A proactive, ownership-driven approach with a strong focus on customer success.

It would be an added bonus if you have:

  • Experience working with NVIDIA Grace Blackwell or similar next-generation GPU platforms.
  • Experience with cluster validation, benchmarking, or performance testing tools (e.g., HPL, NCCL)

Key employee benefits:

  • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) plan: up to 4% company match with immediate vesting.
  • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote work reimbursement: up to $85/month for mobile and internet.
  • Disability & life insurance: company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries ranging from $180K to $220K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades.

Join Nebius Today!

Benefits & Perks:

  • 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

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI 

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. 

If you need accommodations during the application process, please let us know.

Similar Jobs

2 Hours Ago
Remote or Hybrid
United States
140K-210K Annually
Senior level
140K-210K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.
Top Skills: AgileSparkAzure Data PlatformCloud ComputingData GovernanceData LakesData LineageData WarehousingDatabricksMaster Data ManagementMetadata ManagementAzurePythonSQL
2 Hours Ago
Remote or Hybrid
United States
71K-105K Annually
Senior level
71K-105K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Develops and maintains Access databases, SQL reports, Cognos and Power BI dashboards, SharePoint solutions, and operational workflows. Analyzes transactional, financial, staffing, productivity, and performance metrics; validates data; creates projections and regulatory reports; and presents findings to senior leadership. Partners with stakeholders and IT to gather requirements, improve processes, automate workflows, ensure data integrity, and support compliance and business operations.
Top Skills: AlteryxCognosETLInfopathMicrosoft AccessPower BIPowerPointRSASSharepointSpssSQLSQL ServerSsisVBA
2 Hours Ago
Remote or Hybrid
United States
54K-72K Hourly
Junior
54K-72K Hourly
Junior
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Reviews medical insurance applications for group life and disability coverage, researches medical conditions and medications, orders additional medical documentation, and applies underwriting guidelines to approve, deny, or pend cases. Maintains quality and consistency across cases while communicating clearly, using multiple systems, incorporating feedback, and applying clinical expertise to business underwriting decisions.
Top Skills: Ai ToolsExcelMS OfficeMicrosoft Word

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account