Sr. Solutions Engineer (GPU Infrastructure)
$180k - $220k • Remote • Remote - United States
Posted 5d ago
Job Location
Remote - United States
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
Nebius is seeking a Sr. Solutions Engineer to serve as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on the Nebius platform. This role involves bridging customer requirements with internal engineering capabilities to ensure successful deployment, stable operations, and ongoing optimization of complex, high-performance environments. You will be instrumental in supporting customers, investigating and resolving complex issues, and contributing to the continuous improvement of our systems.
Responsibilities
- 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 internal teams to coordinate and drive resolution of 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 (e.g., solutions engineer, support engineer, technical account manager).
- 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.
- 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).
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.
- Up to $85/month reimbursement for mobile and internet for remote work.
- Disability & life insurance.