Nebius
Senior AI Infrastructure Systems Engineer (R&D / GPU / AI)
$180K–$224K
United States +1 · Remote · Senior · Full-time · Posted Jan 28, 2026
- Location
- United States
Remote - United States - Experience
- Minimum 5 years of hands-on systems engineering 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
Diagnose and resolve complex hardware and platform failures in high-performance AI infrastructure by investigating system data, identifying root causes, and developing repeatable troubleshooting procedures.
What you'll do
- Form technical hypotheses, design tests, and analyze system logs and low-level hardware data to isolate failures.
- Troubleshoot and investigate issues across Linux, GPU servers, PCIe, firmware, power, cooling, and networking.
- Perform system benchmarking, root cause analysis, and performance optimization in cloud or high-performance computing environments.
What they ask for
- At least 5 years of hands-on systems engineering experience across Linux, server hardware, firmware, PCIe, and GPU or high-performance computing platforms.
- Extensive Linux experience, including kernel-level debugging or troubleshooting.
- Strong knowledge of NVIDIA GPU platforms and diagnostic tooling, and deep knowledge of PCIe architecture and errors.
- In-depth understanding of platform firmware interactions and experience with low-level hardware communication and debugging.
Pay
USD 179,500-224,300 base salary; quarterly performance bonuses (amount not stated)
Tools
Linux, NVIDIA, nvidia-smi, DCGM, NCCL, PCIe, I²C, SMBus
AI focus
Diagnose and resolve hardware and platform failures in high-performance AI infrastructure, including GPU systems used for AI workloads.
Model-written summary · the original posting is authoritative