Senior AI Infrastructure Systems Engineer – R&D, GPU, AI

Nebius Group

. Form technical hypotheses and design targeted tests .

Posted 11/4/2026full-timeRemote • United StatesSenior💰 $179,500 - $224,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in systems engineering, particularly in Linux and high-performance computing environments, with a strong focus on troubleshooting, root cause analysis, and performance optimization. Proficient in diagnosing complex hardware failures and benchmarking systems for performance and stability.

Highest-signal resume keywords

Linux Systems EngineeringNVIDIA GPU PlatformsRoot Cause AnalysisPerformance OptimizationScripting with Python or Go

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Systems EngineeringHardware DebuggingKernel-Level TroubleshootingPCIe KnowledgeFirmware InteractionBenchmarking SystemsLow-Level Hardware CommunicationPerformance AnalysisTroubleshooting Complex IssuesAnalytical Problem-Solving

Soft Skills

Strong Analytical SkillsProblem-Solving Mindset

Tools & Technologies

Nvidia-smiNVLinkNVSwitchFabric ManagerDCGM DiagnosticsNCCL TestingI²CSMBusPMBusBIOS/UEFI

Industry Keywords

High-Performance ComputingGPU-Based EnvironmentsCloud ComputingThermal BehaviourPower Efficiency

Tech Stack

Tools & technologies

CloudLinuxPythonGo

About the role

Key responsibilities & impact

Form technical hypotheses and design targeted tests
Analyze system logs and low-level hardware data
Distinguish between GPU, host, firmware, interconnect, thermal, and physical hardware failures
Diagnose and resolve complex hardware and platform failures in high-performance AI infrastructure
Investigate Linux, GPU servers, PCIe, firmware, power, and cooling issues
Determine true root causes for issues without existing troubleshooting procedures
Turn ambiguous problems into evidence-based conclusions and repeatable troubleshooting procedures
Benchmark systems for performance, stability, power efficiency, thermal behaviour, and workload characteristics
Conduct deep problem investigation, root cause analysis, and performance optimization

Requirements

What you’ll need

Minimum 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 behaviour, 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 relationships between protocol-level errors and physical-layer or signal-integrity problems
Experience benchmarking systems for performance, stability, power efficiency, thermal behaviour, and workload characteristics
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
Demonstrated ability to troubleshoot complex hardware, software, and networking issues
Experience with deep problem investigation, root cause analysis, and performance optimization in cloud or high-performance computing environments
Strong analytical and problem-solving skills with a performance-first mindset
Scripting and automation using Python or Go
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

Comp & perks

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
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