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

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $179.5k - $224.3k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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

• 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

• 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

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