Senior AI Infrastructure Systems Engineer (R&D / GPU / AI)

Details

Nebius is building a full-stack AI cloud platform for data and model training through production deployment. The role focuses on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure.

The engineer will form technical hypotheses, design targeted tests, analyze system logs and low-level hardware data, and distinguish between GPU, host, firmware, interconnect, thermal, and physical hardware failures. The role requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions and repeatable troubleshooting procedures.

Responsibilities

• Diagnose and resolve complex failures across Linux, GPU servers, PCIe, firmware, power, and cooling.
• Investigate hardware, software, and networking issues through deep problem analysis and root cause investigation.
• Benchmark systems for performance, stability, power efficiency, thermal behavior, and workload characteristics.
• Analyze system logs, low-level hardware data, and platform behavior.
• Develop evidence-based conclusions and repeatable troubleshooting procedures.
• Optimize performance in cloud or high-performance computing environments.
• Use scripting and automation to support system investigation and diagnostics.

Requirements

• 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 for hardware debugging, system-level troubleshooting, and platform investigation.
• Knowledge of the Linux kernel and experience with kernel-level debugging or troubleshooting.
• Strong knowledge of modern server architecture, particularly in high-performance, GPU-based environments.
• Strong knowledge of NVIDIA GPU platforms and diagnostic tooling, including nvidia-smi, XID and SXID analysis, GSP and driver behavior, NVLink, NVSwitch, Fabric Manager, DCGM diagnostics, and NCCL testing.
• Deep knowledge of PCIe, including topology, enumeration, root complexes, endpoints, switches, bridges, retimers, link speed and width, AER and DPC errors, completion timeouts, and link failures.
• Understanding of how protocol-level errors can relate to physical-layer or signal-integrity problems.
• In-depth understanding of firmware interactions across BIOS/UEFI, BMC, CPLD/FPGA, GPU firmware, NIC firmware, and other platform components.
• Experience with low-level hardware communication and debugging using I²C, SMBus, PMBus, register maps, bit masks, byte- and word-level data, and device datasheets.
• Strong analytical and problem-solving skills with a performance-first mindset.
• Scripting and automation experience using languages such as Python and Go.

Benefits

• 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan with up to a 4% company match and immediate vesting.
• 20 weeks of paid parental leave for primary caregivers and 12 weeks for secondary caregivers.
• Remote work reimbursement of up to $85 per 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.

Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire. Nebius is an equal opportunity employer.